Finance

Behavior Technician / RBT (Bonus Opportunity)

Job Requirements Are you bilingual in Spanish/English or another language? If so, you can earn an additional $1.00/hour (premium pay) when matched with bilingual-required client sessions. $500-$1000 bonus for candidates based on experience. We have variable part-time shifts available for entry-level Behavior Technicians up to seasoned RBTs. Speak with a recruiter today to see which suits your availability best! Must have one of these availabilities, Monday – Friday: 8:00am-5:00pm, or 9:00am-6:00pm, or 12:00pm-7:00pm, or 3:00pm-7:00pm. Benefits and Compensation: $19.50 - $24.00 / hour Increase for RBT certification Paid RBT Certification - No experience necessary, we will help you get trained on the job! Paid drive time / mileage reimbursement 401(k) plus company match Paid time off earned for every hour worked! No experience? No problem! We'll teach you everything you need to know. And if you've ever worked as a nanny, paraprofessional, teacher, CNA, personal attendant, daycare, childcare, babysitter, caregiver, or aide, or studied psychology, social work, or sociology-you're already halfway there! This isn't just a job. It's the chance for both you and the kids to have a brighter future! Apply now. Kids are waiting for you! We also support you with: LAUNCH career path - clear milestones with rewards including bonuses and promotions Referral bonus program Free continuing education opportunities Free CPR and safety training Employee assistance program including free financial advice, free counseling support, mental health resources Virtual office connections to hundreds of colleagues nationwide, and fun local events with colleagues in your area Learn transferable skills which open the door to great careers in behavioral health You Will: Make a difference in the life of a child! Use play, patience, and ABA therapy to teach real-life skills Collect and record data on client behavior and progress Provide one-on-one support to clients with autism spectrum disorder Maintain a safe and respectful environment for clients and staff Help the child develop essential life skills such as motor skills, personal hygiene, daily living, potty training, social and emotional skills Get up and down off floor often, move quickly You Have: 6 months of experience working with children (any setting) or adults with special needs - make sure this is on your resume or application! A heart for helping kids A calm, steady presence Eagerness and energy to play Reliable transportation to travel to client homes and other locations Tech savviness - learn our data collection software and use basic office software Fluent in Spanish and English strongly preferred Who We Are: It's in the wow moments that we find our purpose at ABS Kids. Our shared experiences are the milestones that influence our work. The mission of our work with children with autism and their families feeds our spirit. With every wow moment, we can see our impact grow. At ABS Kids we are empowered by the breadth of our differences. Our mission is to create a culture where all people thrive because their diverse stories are heard and celebrated. We commit to an evolving understanding of diversity as we learn from one another. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.  CA Job Applicant Privacy Notice

  • Winchester, CA

  • no content

Director, Change Management - Labs of Tomorrow (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Purpose / Overview Takeda is seeking a strategic and execution-focused Change Management leader to drive adoption and value realization for the Labs of Tomorrow initiative across Research. Reporting to the Head of Research Program Management, this role is accountable for ensuring that transformation efforts—including lab automation, digital enablement, and new operating models—are not only delivered, but adopted, embedded, and sustained to achieve measurable impact. This role operates as a peer to Labs of Tomorrow Program Managers, where the PMs own delivery and this role owns adoption, behavior change, and value realization. This is not a passive support role. The incumbent will drive change across the organization, challenge legacy ways of working, identify barriers to adoption, and ensure that transformation efforts result in measurable improvements in research productivity, operational efficiency, decision velocity, and organizational readiness. Key Responsibilities / Accountabilities Change Management Leadership Lead and drive change management strategies for the Labs of Tomorrow program that includes lab automation, digital enablement, new operating models, and future transformation workstreams. Define change impacts, stakeholder needs, adoption risks, and behavior changes required for successful implementation. Ensure all initiatives have clear adoption, readiness, and value realization plans. Adoption of New Ways of Working Drive adoption of new cultural pillars, behaviors, processes, tools, and organizational practices across Research. Partner with workstream leads and PM counterparts to ensure impacted teams understand what is changing, why it matters, and how success will be measured. Identify resistance, ambiguity, and adoption gaps early; develop and execute targeted interventions to maintain momentum. Stakeholder Engagement Enable leaders to act as visible sponsors of change, reinforcing new behaviors Act as a central change management partner across Research, Digital / IT, Operations, Quality, Finance, Communications, HR / Talent, and senior leadership. Build alignment across diverse stakeholder groups and ensure leaders actively sponsor and reinforce required changes. Serve as a trusted advisor to Labs of Tomorrow leaders on stakeholder readiness, change risks, and adoption strategy. Communications & Training Develop audience-specific communications strategies for senior leaders, scientific teams, lab users, enabling functions, and impacted stakeholders. Translate complex cross-functional transformation information into clear, practical, and digestible formats. Design and deliver training, playbooks, onboarding materials, workshops, town halls, and engagement sessions that build capability and accelerate adoption. Program Integration Work in peer partnership Labs of Tomorrow PMs to integrate change milestones, stakeholder dependencies, and adoption risks into broader program plans. Provide a “wide-angle lens” on cross-functional change impacts that may affect execution, adoption, or sustainability. Support governance materials and executive updates by clearly communicating adoption progress, change risks, decisions needed, and mitigation plans. Metrics & Continuous Improvement Ensure transformation efforts translate into measurable improvements in productivity, efficiency, and decision velocity. Define and monitor change adoption metrics, including readiness, engagement, behavior adoption, tool usage, training effectiveness, stakeholder sentiment, and realized impact. Conduct regular readiness assessments and use feedback to refine change interventions. Capture lessons learned and codify repeatable change management practices for future Labs of Tomorrow initiatives. Qualifications Education Sound scientific knowledge with Bachelor’s degree 18 years, MS 16 years or PhD 10 years in Science or Management related discipline Expected of 5-7 years of change management experience with experience in early drug discovery (e.g., target identification, hit to-lead stages) and late drug discovery (e.g., candidate stage, preclinical/IND enabling stages) in the capacity as a program manager. Project Management Professional (PMP®) certification and/or Change Management certification (e.g., Prosci, CCMP) required Experience Experience in biopharma R&D, lab operations, digital transformation, automation, or research operations strongly preferred. Demonstrated experience interacting with senior executives and influencing cross-functional stakeholders in a matrixed environment. Strong understanding of organizational change management methodologies and practical application in complex scientific or technical environments. Experience developing stakeholder engagement plans, readiness assessments, communication strategies, training plans, and adoption metrics. Ability to integrate change management with project management disciplines, including planning, risk management, dependency tracking, milestone tracking, governance, and budget oversight. Strong analytical skills with the ability to interpret adoption data and translate insights into action. Familiarity with lab automation, digital workflow tools, R&D transformation, or change management platforms preferred. Leadership & Soft Skills Exceptional leadership, communication, facilitation, and stakeholder management skills. Ability to influence, negotiate, and build consensus across multiple levels of the organization. Comfortable challenging the status quo and driving adoption of new behaviors and operating practices. Proven problem-solving, analytical, and strategic planning capabilities. Strong executive presence with the ability to distill complex issues into clear recommendations. Entrepreneurial, proactive, and comfortable operating in ambiguity while creating structure for others. ADDITIONAL INFORMATION The position will be based in Cambridge, MA. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $177,000.00 - $278,080.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee

  • Cambridgeport, MA

  • no content

Research Senior Scientific Director, Head of Hit ID and Sample Management (Automation) (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Our Labs of Tomorrow vision is bold: We will deliver at least one groundbreaking medicine to patients every year by working ‘smarter’ rather than ‘harder’. We are making this possible by improving our processes for agility, while increasingly integrating AI/ML and lab automation into our workflows. Objective / Purpose: We are seeking a Senior Director, Head of High-Throughput Screening (HTS), DNA-Encoded Libraries (DEL), and Sample Management to lead a strategic function supporting discovery across small and large molecule portfolios. This leader will be responsible for advancing screening and compound/sample management capabilities, driving innovation in hit identification, and ensuring operational excellence across highly automated platforms and large-scale libraries. The ideal candidate brings deep scientific and operational expertise in HTS, DEL, and sample management, with a proven track record leading high-performing teams, shaping strategy, and influencing senior stakeholders across a matrixed R&D organization. Accountabilities: Scientific and Technical Leadership Lead and evolve enterprise capabilities in high-throughput screening, DEL screening, and sample management in support of discovery programs across therapeutic areas. Oversee screening strategies for small molecules, ensuring robust assay execution, hit identification, triage, and progression. Provide deep expertise in 1536-well screening, assay miniaturization, screening cascade design, and operational scale-up. Drive scientific excellence in HTS principles, screening statistics, assay performance metrics, and data quality assessment, including use of controls, normalization approaches, and hit-calling methodologies. Apply advanced knowledge of statistical analysis to support high-confidence decision-making across large and complex datasets. Champion integration of AI and computational approaches for hit selection, pattern recognition, data mining, and broader screening data analysis. Bring direct experience with DNA-Encoded Library (DEL) technologies, including screening strategy, data interpretation, and integration with complementary hit-finding platforms. Sample Management and Operational Excellence Lead end-to-end sample management operations for both small and large molecules. Oversee management of large compound and sample libraries exceeding 1 million samples, ensuring integrity, accessibility, traceability, and efficient deployment. Direct operation and continuous improvement of large integrated automated storage systems and associated workflows. Establish and maintain best practices in sample QC, inventory governance, plating, cherry-picking, reformatting, and shipment readiness. Drive reliability, quality, and scalability of operations through strong process discipline, metrics, automation, and continuous improvement. Strategy and Cross-Functional Partnership Develop and execute a forward-looking strategy for HTS, DEL, and sample management aligned with portfolio and platform priorities. Partner closely with medicinal chemistry, biology, data science, automation, informatics, and discovery leadership to deliver integrated hit discovery solutions. Communicate scientific strategy, operational performance, risks, and investment priorities effectively to senior leadership. Identify emerging technologies and external innovations that can enhance screening performance, speed, and decision quality. People Leadership Lead, inspire, and develop a large organization of scientists and operational staff. Build a high-performance, inclusive, and accountable team culture focused on scientific rigor, collaboration, and innovation. Coach leaders and team members, strengthen organizational capabilities, and ensure appropriate succession planning. Set clear goals, empower teams, and model outstanding people leadership. Education & Competencies (Technical and Behavioral): PhD with 15 years’ experience in chemistry, biology, pharmaceutical sciences, engineering, or related discipline with 15 years’ experience, MS with 21 years experinece, or BS with 23 years’ experience Significant industry experience in high-throughput screening, sample management, and discovery operations, including leadership at senior level. Demonstrated hands-on and strategic expertise in HTS, including 1536-well platforms, assay execution, screening data analysis, and hit triage. Direct experience with compound/sample management for both small and large molecules. Experience managing libraries greater than 1 million samples. Experience operating and optimizing large integrated automated storage systems. Strong knowledge of sample quality control, inventory integrity, and operational best practices. Deep understanding of screening statistics, data quality metrics, and quantitative analysis methods. Experience applying or enabling AI/ML approaches for hit selection and screening data analysis. Prior experience with DNA-Encoded Libraries (DEL) strongly preferred, ideally with direct operational and scientific leadership responsibility. Proven success leading large teams of 20 scientists, including managers and technical experts. Exceptional communication, influencing, and stakeholder management skills, including experience presenting to senior executives. Strong strategic mindset with demonstrated ability to build capabilities and deliver organizational impact. Strategic and future-oriented thinker Outstanding people leader and talent developer Strong operator with a focus on excellence and continuous improvement Collaborative and influential across functions and levels Scientifically rigorous, data-driven, and innovation-minded Clear, confident communicator with executive presence ADDITIONAL INFORMATION The position will be based in Cambridge, MA. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $212,000.00 - $333,190.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee

  • Cambridgeport, MA

  • no content

Senior Director, AIRx Biologics Discovery Lead (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description About the role Takeda Research is constructing a Lab of Tomorrow built on AI, automation, new ways of working, and talent with the singular vision of delivering differentiated medicines to the clinic at speed and cost. To catalyze these efforts, Takeda is creating two complementary units: AI Research Accelerator (AIRx) and Discovery Automation & Robotics (DAR). AIRx will have a group of a dedicated group of experienced biologic drug hunters with the autonomy of a biotech and the resources of a leading pharmaceutical company. It is designed to incubate the future AI-powered operating models for large molecule discovery and deliver candidates to the clinic at industry leading speed and success rates. Purpose As AIRx Biologics Discovery Lead, you will lead the end-to-end biologics discovery from lead generation, optimization to final candidate selection of 2–3 large molecule discovery programs within a unit deliberately designed to remove the structural overhead that slows programs down in large pharma. AI-enabled protein design, internal or externalized wet lab execution with state of Art platforms, and a direct line to governance: this is the environment elite biologic drug hunters have been waiting for. You will work with highly experienced leaders with proven track record of delivering multiple large molecule INDs, top computational protein scientists, AI/ML specialists, CMC partners and translational biology experts in a model where the science, not the governance calendar, drives the pace and progress. This is a role for a leader who knows how to deliver speed and innovation integrating AI/ML based biologics discovery, automated high throughput platforms with deep understanding of CMC as well as pharmacology of biologics drugs. A proven track record of leading at least 2 biologic discovery programs to clinic is required. Key Accountabilities Lead Biologics Discovery: Drive biologics discovery for multiple programs from target and modality selection through candidate nomination, preclinical development transition, and IND filing Discovery strategy and implementation: Establish and execute discovery strategies across antibodies, bispecifics, fusion proteins, and emerging modalities with clear CMC and clinical line-of-sight Integrate AI and automation: Embed AI-driven protein design, computational modeling, and high-throughput experimental platforms to accelerate cycle times and improve design quality Enable decision-making: Evaluate and prioritize biologic candidates based on scientific, clinical, CMC, and commercial considerations; balance potency, selectivity, half-life, immunogenicity risk, and expression yield in go/no-go decisions Optimize molecules: Lead sequence optimization, affinity maturation, Fc engineering, and developability optimization through integrated computational and experimental approaches Manage external execution: Oversee CROs/CDMOs to ensure delivery of high-quality, decision-ready data on aggressive timelines External engagement: Represent AIRx externally; assess platform technologies, novel modalities, and serve as BD subject matter expert evaluating external assets Portfolio impact: Deliver biologics discovery with disciplined cost stewardship while contributing to a sustainable pipeline of biologics INDs Qualifications & Competencies Expected Education and Industry Experience: Advanced degree in protein biochemistry, structural biology, molecular biology, immunology, or related life sciences (PhD, MD, or DVM); PhD strongly preferred; and 15 years of industry experience with deep subject matter expertise in biologic drug discovery; at least 10 years in scientific leadership roles within large molecule programs Proven track record leading 5 biologic programs across discovery from target inception to Candidate Nomination or beyond; minimum 2 biologic INDs required (antibody, bispecific, or fusion protein programs preferred) Deep knowledge of the biologic drug discovery and development process: target identification, discovery campaign strategies (yeast display, hybridoma, single B cell), lead optimization, developability assessment, and IND-enabling CMC and toxicology activities Expertise in protein engineering principles: affinity maturation, CDR optimization, Fc engineering, bispecific/multispecific antibody formats, linker design, and fusion protein architecture Strong AI/ML fluency and digital-forward scientific mindset; hands-on experience integrating generative protein design tools (e.g., RFdiffusion, ProteinMPNN, ESMFold, AlphaFold) and ML-guided sequence optimization into biologics discovery workflows Solid understanding of large molecule DMPK: FcRn-mediated recycling, half-life extension strategies, subcutaneous absorption, immunogenicity risk assessment, and PK/PD modeling for dose projection Strong understanding of biologic CMC considerations: expression systems (CHO, HEK), purification, analytical characterization, developability studies and early formulation development as inputs to candidate selection Excellent and inclusive leadership; able to inspire cross-functional protein engineering, biology, and translational teams towards ambitious goals Exceptional communication skills; able to convey complex large molecule science to senior governance audiences and distill developability trade-offs into clear strategic recommendations Demonstrated success of strategic partnerships with CRO and CDMOs for biologics; strong business acumen including regulatory (BLA/MAA pathway) and commercial awareness Additional Information The position will be based in Cambridge, MA. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy. What’s Different About This Role Biotech-like autonomy with big pharma scale AI-native biologics discovery environment Streamlined governance with rapid decision-making Direct impact on future operating models in R&D Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $212,000.00 - $333,190.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes

  • Cambridgeport, MA

  • no content

AIRx Director, Computational & AI Biologics Design Lead (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Director, Computational & AI Biologics Design Lead Takeda Research is constructing a Lab of Tomorrow built on AI, automation, new ways of working, and talent with the singular vision of delivering differentiated medicines to the clinic at speed and cost. To catalyze these efforts, Takeda is creating two complementary units: AI Research Accelerator (AIRx) and Discovery Automation & Robotics (DAR). AIRx will have a group of a dedicated group of experienced biologic drug hunters with the autonomy of a biotech and the resources of a leading pharmaceutical company. It is designed to incubate the future AI-powered operating models for large molecule discovery and deliver candidates to the clinic at industry leading speed and success rates. Purpose Reporting to the Head of AIRx, the Computational & AI Biologics Design Lead sits at the scientific heart of the Takeda Boston (TBOS) Large Molecule Pod. As part of the AIRx team, this role serves as a strategic computational leader, driving in silico biologics design and shaping how AI-enabled biologics discovery is executed for select programs. This role drives in silico biologics design, applies generative AI and structure-informed methods to antibody and large-molecule programs, and connects Takeda’s internal AI/ML platform capabilities to the day-to-day decisions of a fast-moving drug-hunting team. In addition, the role defines decision frameworks and scientific standards that influence candidate prioritization, progression, and overall portfolio direction. Proposals from this role directly shape what gets engineered, what gets deprioritized, and what ultimately reaches the clinic. The role is deeply hands-on, with a mandate to operate with urgency and independence while remaining tightly integrated with biology, protein engineering, and translational science colleagues across the pod. Key Accountabilities 1. In Silico Biologics Design for Pod Programs Define and drive the computational design strategy across the pod’s large-molecule programs, including antibody, VHH, and multispecific or fusion formats, from early format selection through lead optimization. Design and prioritize molecular candidates using generative AI/ML and computational modeling approaches Serve as a scientific advisor to pod leadership on computational design decisions, influencing program direction and key trade-offs Partner closely with the Biologics Discovery Lead to translate computational proposals into testable engineering priorities; challenge and be challenged on scientific assumptions in equal measure. Integrate structural biology data into design strategies to inform format selection, epitope targeting, and interface optimization. Oversee virtual screening, binding affinity prediction, and developability risk assessment for candidate sequences; provide ranked shortlists with quantified uncertainty to the pod. Establish and improve approaches to accelerate lead optimization by compressing DMTA cycles through AI-guided design, with the goal of achieving the target candidate profile in fewer rounds. Collaborate with translational and DMPK scientists to model PK/PD behavior, TMDD, and species cross-reactivity in silico, informing study design and reducing in vivo cycle time. 2. AI/ML Platform Interface and Data Strategy Serve as the pod’s primary computational interface to Takeda’s AI/ML research platform; evaluate and benchmark new AI design tools against the pod’s specific biologics modalities and program needs. Define and steward data requirements for AI model training within the pod: structure data return from experimental campaigns, annotation standards, and integration with Takeda’s data infrastructure. Contribute to building and curating AI/ML training datasets from pod experimental outputs to enable continuous model improvement. Guide development and refinement of computational workflows to enable pod scalability, speed and reproducibility across the DMTA cycle; document methods to support cross-pod learning. 3. Pod Integration and Scientific Operations Act as a hands-on computational authority within pod governance: prepare and present in silico analyses for PRC reviews, design review boards, and candidate declaration milestones. Ensure computational requirements are integrated early in external experimental campaigns to maximize data return value. Interface with Takeda’s discovery automation capabilities to define assay and data readout specifications for pod programs entering automated workflows when applicable. 4. Scientific Leadership and External Engagement Maintain deep subject-matter expertise by staying current with advances in AI for biologics design and structure prediction; translate emerging capabilities into actionable proposals for the pod. Identify and translate relevant external innovations into opportunities that enhance pod capabilities and programs Represent Takeda’s computational biologics capabilities in interactions with external partners, at conferences, and in the scientific community; contribute to publications and IP filings as appropriate. Provide scientific mentorship within the AIRx context and help shape computational biologics practices across the broader research organization. Qualifications & Competencies Expected Requirements: PhD in Computational Biology, Bioinformatics, Structural Biology, Computer Science, or a closely related discipline. 10 years of drug discovery experience with a demonstrated track record of computational impact on large-molecule or biologics programs; industry experience strongly preferred. Deep expertise in antibody and protein sequence, structure, and function modeling, with proficiency in generative or predictive AI frameworks applied to biologics design. Broad proficiency in computational tools relevant to biologics, spanning structural analysis, molecular simulation, developability prediction, and bioinformatics. Strong coding skills (Python required); experience building and deploying ML models in a drug discovery context; familiarity with cloud-based compute and MLOps practices. Demonstrated ability to operate as both a technical individual contributor and a cross-functional scientific partner in a fast-paced, program-driven environment. Versatile communicator: able to present complex computational findings to biologists, clinical scientists, and senior leadership with clarity and scientific rigor. Preferred Experience with multispecific antibody formats and the associated engineering, developability, and PK/PD considerations. Experience integrating physics-based modeling with deep learning approaches to improve prediction accuracy and generalization. Prior experience defining data requirements and governance for AI/ML platform development across multiple programs or sites. Experience operating within or alongside an external AI design partner environment, including co-design workflows and campaign-level data return. Track record of contributing to IND-enabling programs; familiarity with candidate declaration criteria and biologics CMC considerations. ADDITIONAL INFORMATION The position will be based in Cambridge, MA. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $177,000.00 - $278,080.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and

  • Cambridgeport, MA

  • no content

Head of Automated Small Molecule Synthesis (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide. Objective / Purpose: The Research Scientific Director, Head of Automated Small Molecule Synthesis , is based in Cambridge, MA, within the R&D — Research division, specifically supporting Takeda’s Digital Discovery & Development Engine. This full-time Director-level role is instrumental in building and leading the automation of small molecule synthesis for Takeda’s Discovery Automation & Robotics (DAR) initiative to implement highly efficient, AI-integrated DMTA (Design–Make–Test–Analyze) cycles toward rapid and reliable small molecule discovery. The Head of Automated Small Molecule Synthesis leads the strategy, design, and execution of small molecule synthesis using fully automated, robotic platforms to accelerate decision-making across Takeda’s discovery portfolio by quickly and reliably generating compound sets for testing. The role collaborates closely with medicinal chemistry, in-vitro pharmacology, DMPK, data science/AI/computational chemistry, and automation engineering to ensure seamless integration of compound synthesis with AI-driven design, and includes integrating retrosynthetic planning, route design, and advanced chemical reaction miniaturization capabilities. Accountabilities: Define and execute the automation strategy for small-molecule synthesis, aligning platform capabilities with organizational discovery and development goals and the Lab of the Future roadmap. Prioritize and sequence automation investments in equipment, software, and talent based on scientific impact, throughput gains, and cost-to-value ratios. Promote the adoption of digital-first and automated approaches across the research community as a change champion. Establish a closed-loop DMTA vision by integrating robotics, digital data capture, and AI/ML to boost synthesis throughput, reduce cycle times, and enhance decision quality. Design end-to-end automated workflows for reaction scouting, parallel synthesis, scale-out, and purification (e.g., flash/Prep-HPLC) to ensure reproducibility and traceability. Standardize method libraries and digital SOPs, covering reaction templates, purification methods, and analytical routines, to enable rapid and consistent deployment across programs. Continuously evaluate and integrate new technologies such as liquid-handling robotics, continuous flow, microreactors, smart reactors, and generative chemistry tools. Accelerate DMTA cycles through high-throughput experimentation (HTE), parallel synthesis arrays, flow chemistry, and automated purification integrated with ELN/LIMS and scheduling/orchestration systems for efficient, low-touch labs. Establish and refine a vision for fully integrated workflows that encompass compound design, purification, QC data capture, analysis, and sample preparation for testing. Define, track, and report KPIs such as workflow efficiency, data accessibility, and cycle time improvements. Encourage method innovation, including novel reaction classes on automation, greener conditions, and continuous processing. Drive reliability engineering, preventive maintenance, and improvements Integrate EHS, machine safety, and cybersecurity Ensure up-time with scheduled maintenance, spares management, incident handling, and corrective action. Scale workflows from prototype to routine and maintain lab safety and compliance for automated operations. Oversee change control, validation, risk assessment, and conduct drills and post-mortems. Engage externally through contributions to patents, publications, and presentations that highlight platform advancements, and by active participation in consortia and conferences to share knowledge and gain insights to remain at the forefront of best practices. Contribute to data governance practices that promote longitudinal learning across Takeda’s discovery portfolio. Uphold Takeda’s values of Integrity, Fairness, Honesty, and Perseverance in all scientific and operational activities. Education & Competencies (Technical and Behavioral): Expected: Ph.D. in Organic or Medicinal Chemistry (or related field) with 10 years of experience; or M.S. with 16 years of experience; or B.S. with 18 years of experience in pharmaceutical or biotech R&D, including small-molecule discovery. Deep medicinal chemistry knowledge, including SAR, SBDD, cheminformatics, and ADME/PK data interpretation. 10 years building and scaling lab or chemical process automation, and 5 years leading cross-functional R&D teams. Proficiency with automated synthesis platforms, including robotic reaction screening, parallel synthesis, and purification systems. Experience with AI-driven DMTA and autonomous design-make loops and experiment planners. Familiarity with scheduling software, LIMS/ELN, and data pipeline tools used in automated labs. Strong leadership, managing and developing scientific teams at the senior scientist/principal scientist level. Exceptional written and verbal communication, with ability to influence at the Executive Director and VP levels. Demonstrated ability to drive change and transformation in complex, global R&D organizations. ADDITIONAL INFORMATION The position will be based in Cambridge, MA. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $177,000.00 - $278,080.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

  • Cambridgeport, MA

  • no content

Senior Director, AIRx Discovery Biology Lead (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Senior Director, AIRx Discovery Biology Lead Takeda Research is constructing the Discovery Automation & Robotics (DAR) group built on AI, automation, new ways of working, and talent with the singular vision of delivering differentiated medicines to the clinic at speed and cost. To catalyze these efforts, Takeda is creating two complementary units: AI Research Accelerator (AIRx) and The Discovery Automation & Robotics (DAR) group. AIRx will consist of a dedicated group of experienced drug hunters with the autonomy of a biotech and the resources of a leading pharmaceutical company. It is designed to incubate the future AI-powered operating models and deliver candidates to the clinic at industry leading speed and success rates. Purpose Biology is the strategic core of every AIRx program — As Discovery Biology Lead, you will set the mechanistic and translational foundation that determines whether a program deserves to advance, guiding the team from target hypothesis to clinical hypothesis with the intellectual authority that only deep disease biology expertise can provide. Responsibilities include directing CRO partners with precision and accountability to generate high-quality, interpretable data that feeds into AI-powered DMTA cycles, and connecting experimental biology to translational strategy and clinical outcomes. The AIRx Discovery Biology Lead combines deep scientific expertise with the agility to thrive in an externalized, AI-powered operating model — leveraging biological depth and pragmatism to direct and integrate biology at speed, while role modeling new ways of working in Discovery Automation & Robotics (DAR) group. Accountabilities Own the disease biology and target validation strategy across the AIRx portfolio; ensure all programs have mechanistic rationale, clear differentiation, and clinical line of sight Define translational biomarker strategies supporting go/no-go decisions and future clinical development Design and provide strategic oversight of CRO-executed in vitro and in vivo biology studies; critically evaluate data packages for scientific quality and decision-readiness Integrate biology data into AI-enabled DMTA cycles alongside medicinal/computational chemists, DMPK, safety, and structural biology Challenge scientific assumptions across the team; ensure biological integrity and mechanistic depth underpin all program decisions Represent biology perspectives at Takeda governance forums; contribute to IND-enabling biology packages Stay current with disease biology and the competitive landscape; proactively inform the team of relevant developments Shape how biology is practiced in the AIRx model — your ways of working here will become the template for Takeda Research’s future operating model Qualifications & Competencies PhD in cell biology, molecular biology, pharmacology, or closely related discipline 12-15 years of drug discovery experience with a strong track record in target validation and disease biology Proven contributions to IND filings; experience supporting IND-enabling biology packages Track record designing and managing externalized CRO biology programs; ability to scope, oversee, and critically interpret study data Ability to connect target biology to clinical hypothesis and translational strategy AI/ML data integration experience; comfortable working with large multi-source datasets Experience in at least one therapeutic area represented across the Takeda Research portfolio Excellent cross-functional collaboration skills; able to operate effectively in a lean, fast-paced team ADDITIONAL INFORMATION The position will be based in Cambridge, MA. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $212,000.00 - $333,190.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

  • Cambridgeport, MA

  • no content

Director, DMPK&M (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description About the Role Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join Takeda as a Director, Drug Metabolism, Pharmacokinetics & Modeling (DMPK&M) within the Gastrointestinal and Inflammation (GI2) Therapeutic Area Unit. This role provides strategic leadership across gastrointestinal and inflammatory disease programs, integrating ADME, pharmacokinetics/pharmacodynamics, and quantitative modeling to drive decisions from early discovery through clinical development. How You Will Contribute Provide strategic leadership for DMPK&M across multiple GI2 programs Serve as the DMPK&M representative on cross-functional research or global project teams Design and execute ADME strategies supporting IND and clinical progression Drive quantitative decision-making using modeling approaches (PBPK, mechanistic PK/PD, early feasibility analysis) Enable prediction of human PK, dose selection, tissue exposure, and target engagement Identify and mitigate risks such as DDI, variability, and absorption challenges Contribute to regulatory submissions and health authority interactions Collaborate cross-functionally with clinical pharmacology, safety, CMC and regulatory Manage resources and plan budgets efficiently for DMPK&M Mentor junior scientists and foster data-driven culture Contribute to publications and external scientific engagement Education and Experience PhD with 10 years experience, or MS with 16, or BS with 18 Experience across drug discovery and development Proven leadership and experience working on cross-functional project teams Strong background in ADME, translational science and human PK prediction Experience collaborating with pharmacometrics or QSP teams Knowledge of regulatory expectations (FDA, EMA, ICH) Ability to integrate PK, PD, safety, and efficacy data Additional Preferred Qualifications Experience in applying quantitative frameworks i.e. modeling & simulation to guide strategic decisions Experience in GI2 disease area is a plus Behavioral Competencies Strategic thinker with strong scientific judgment Ability to lead in matrixed environment Strong communication skills Collaborative mindset Ability to prioritize and drive decisions Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $177,000.00 - $278,080.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

  • Cambridgeport, MA

  • no content

AIRx, Sr. Director, Nonclinical Safety Lead (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Takeda Research is constructing a Lab of Tomorrow built on AI, automation, new ways of working, and talent with the singular vision of delivering differentiated medicines to the clinic at speed and cost. To catalyze these efforts, Takeda is creating two complementary units: AI Research Accelerator (AIRx) and Discovery Automation & Robotics (DAR). AIRx will have a group of a dedicated group of experienced biologic drug hunters with the autonomy of a biotech and the resources of a leading pharmaceutical company. It is designed to incubate the future AI-powered operating models for large molecule discovery and deliver candidates to the clinic at industry leading speed and success rates. Purpose In AIRx, every go/no-go decision carries real cost, and the safety call is the one that stops a program or sends it forward. As Nonclinical Safety Lead, you own the safety strategy that supports every candidate in the AIRx portfolio: designing the nonclinical safety package, directing CRO execution with precision, and ensuring that the data generated at CROs is interpretable, AI-ready, and decisive. It is a scientific strategy role combined with a hands-on project toxicologist function in a unit that moves at biotech speed. You will be embedded in the DMTA cycle from early hit assessment through IND-enabling studies, working alongside medicinal chemists, computational scientists, and biologists to flag liabilities early, design around them fast, and build the nonclinical dossier that gives programs the best possible chance in the clinic. The right person for this role is a seasoned nonclinical safety expert who is as comfortable directing and critically interpreting study packages as they are challenging a SAR hypothesis on the basis of a structural alert; and who sees AI-enabled data integration not as a future concept but as how they want to work today. AIRx Leadership Capabilities Thrive in an environment with laser focus on delivery of differentiated candidates to the clinic Accountable leaders who act with decisive judgment; they show agency, move work forward without waiting to be told, and make sound decisions with urgency Builders of momentum, not bureaucracy; they advance programs through expertise, surface the best thinking quickly, and create conditions for decisions Generative thinkers with a learning orientation — curious, constructive, truth-seeking. They embody learn-it-all vs know-it-all, fail fast and learn faster, and create inclusive environments with the psychological safety to surface all contributions Systems thinkers who look forward — they see the whole R&D system, anticipate inflection points, and lead through cross-disciplinary integration Values-led under pressure — they act in the best interests of patients and Takeda and are always team players Change leaders who challenge norms and empower others — they are role models for the culture AIRx is creating; challenging when the norm reduces impact and staying ready for rapid shifts Fluent in the hybrid biopharma reality — comfortable at the wet/dry interface of lab science and AI/data/engineering; instinctive about where value inflects across the discovery-to-development continuum Externally oriented — they tap into external KOL networks, contribute meaningfully to business development, and monitor the competitive and regulatory landscape to inform decisions Deep experts in their domain — with in-depth, current knowledge of their discipline and a restless drive to advance it Impactful communicators who create alignment — confident in high-stakes, ambiguous settings; bridging across boundaries and keeping colleagues anchored to the mission Nonclinical Safety Lead Accountabilities Own the nonclinical safety strategy across the AIRx portfolio, including small molecule and biologics projects, from early screening through IND-enabling studies; ensure every program has a clear, risk-proportionate toxicology plan aligned to its clinical hypothesis and regulatory pathway Design and oversee CRO- or in-house executed in vitro and in vivo safety studies; write and review study protocols, critically interpret data packages, and determine their implications for program progression Integrate safety data into AI-enabled DMTA cycles; partner with Medicinal and Computational Chemists to flag structural liabilities early, interpret ADME-tox outputs, and feed clean, standardized safety data into AIRx data systems (TetraScience, SAIL) for AI/ML use Lead early safety screening cascade design including: in silico toxicity prediction, off-target liability assessment, geno- and organ-toxicity screening, and reactive metabolite assessment — to inform design decisions before significant synthesis investment Oversee repeat-dose, genetic toxicology, safety pharmacology studies as programs progress; ensure GLP studies are scoped correctly and delivered on time and to quality Author and review nonclinical sections of INDs, CTAs, and key regulatory briefing documents; serve as Takeda's scientific representative in regulatory interactions concerning non-clinical safety Collaborate closely with DMPK to integrate PK/TK, metabolite profiling, and safety margin calculations into program decision frameworks; ensure PK-PD-toxicity relationships are clearly articulated and expressed in safety margins to clinically meaningful doses Stay current with evolving regulatory guidance (FDA, EMA, ICH) on nonclinical safety requirements; proactively assess and communicate implications for AIRx program timelines and study designs Contribute to the scientific rigor and AI-readiness of AIRx safety data — ensuring assay outputs are standardized, annotated, and structured for downstream model training and insights generation Shape how nonclinical safety is practiced in the AIRx model — your approach to early liability identification and CRO direction will become part of the template Takeda Research scales across its future AI-enabled operating model Qualifications & Competencies Expected Requirements: PhD in toxicology, pharmacology, biochemistry, or closely related discipline; board certification or fellowship in toxicology (DABT, ERT, or equivalent) strongly preferred 12–15 years of pharmaceutical drug discovery experience with a strong, hands-on track record in nonclinical safety strategy and IND-enabling toxicology for small molecule and biologics projects Strong ability to work and make safety-related decisions independently; readiness to seek external expert advice when necessary Expert knowledge of ICH guidelines, FDA and EMA non-clinical expectations, and the regulatory context governing non-clinical safety for first-in-human studies Deep expertise in genetic toxicology, repeat-dose toxicology, safety pharmacology (core battery and supplemental), immunotoxicology; working knowledge of phototoxicity, reproductive and developmental toxicology Proficiency in early safety screening: in silico structural alert tools, in vitro hepatotoxicity, cardiotoxicity and genotoxicity assays, off-target liability and reactive metabolite assessment, immunogenicity assessment and ADME-tox profiling Track record designing, directing, and critically interpreting externalized CRO GLP and non-GLP safety study packages Ability to succinctly and effectively summarize the content and safety implications from nonclinical studies for regulatory submissions, including components for IBs and clinical protocols Experience working at the DMPK/toxicology interface: TK analysis, metabolite profiling, safety margin assessment, and species selection rationale AI/ML data literacy; comfortable working with large multi-source safety datasets and integrating in silico predictions with experimental outputs in a DMTA context Deep experience in at least one of Takeda's priority therapeutic areas (oncology, neuroscience, gastroenterology/immune/inflammation) Excellent cross-functional collaboration and scientific communication skills; able to translate complex toxicology findings into clear program implications for non-specialist audiences and governance forums ADDITIONAL INFORMATION The position will be based in Cambridge, MA. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA

  • Cambridgeport, MA

  • no content

Global Head - Small Molecule In Vitro Pharmacology (Automation) (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Role overview Takeda is building our Lab of Tomorrow, which will create a fully automated, closed loop, AI-integrated, drug discovery platform. As part of this build, we are seeking a Head of Small Molecule In Vitro Pharmacology. This senior leader will drive the scientific vision and operational strategy across discovery, build and lead a distributed team, and collaborate closely with cross‑functional and external partners to deliver world‑class assay capabilities, rigorous data quality, and translational pharmacology that accelerate portfolio decision making. Purpose Lead, define and shape the global strategy, execution, and continuous evolution of the IVP function, ensuring alignment with Takeda’s enterprise R&D priorities. Core responsibilities Global strategy for in vitro pharmacology across small and large molecule programs; define and lead the global IVP strategy, aligning capabilities to R&D portfolio priorities and company objectives. Organize and lead a high performing, geographically distributed team of directors, managers and scientists, and operations staff; recruit, mentor, and develop leaders. Assay standards : set and enforce best practices for assay design, validation, miniaturization, throughput, automation readiness, and reproducibility. Operational excellence : establish scalable screening cascades for HTS, hit triage, SAR/DMTA profiling. Translational integration : ensure quantitative pharmacology readouts support hit to lead, lead optimization, candidate selection, and IND enabling decisions; serve as a key cross-functional leader in alignment with ADME, DMPK, translational sciences, and clinical biomarker teams. Technology investment : lead scouting and implementation for the technology infrastructure to support a highly integrated and AI-leveraged capability. Metrics and reporting : define team KPIs such as assay turnaround, miniaturized assay performance, data quality, and predictive value; report impact to senior R&D leadership and the executive team. External representation : Act as a primary external scientific leader for IVP; represent the company at alliances, conferences, advisory boards, and regulatory interactions and contribute to publications and patents. Business Accountability: Own resource allocation, investment decisions, and budget for the global in vitro pharmacology function; make trade-offs across programs to optimize enterprise value and pipeline progression. Capability and culture building: establish a culture of innovation, collaboration, and continuous improvement; drive adoption of new technologies, methodologies, and ways of working Required qualifications Expected: PhD in Pharmacology, Biochemistry, Cell Biology, or related discipline with 15 years industry experience, including progressive leadership at the discovery and early development interface. Proven executive leadership track record running discovery pharmacology teams with global responsibilities, budgets, and strategic outcomes. Deep hands-on expertise in in vitro pharmacology including biochemical and cell-based assays, target engagement, orthogonal counter-screens, and quantitative dose response analysis. Experience with assay miniaturization, automation, informatics and HTS readiness. Exceptional communication and stakeholder management skills with ability to influence cross functional and executive audiences. Proven ability to hire, develop and retain senior scientific leaders. Preferred experience Significant leadership experience in biotech/pharmaceutical organizations with responsibility for global teams, budgets, and cross‑functional program outcomes. Experience with IND enabling programs and regulatory interactions. Familiarity with high content imaging label free techniques TR FRET SPR BLI and other biophysical modalities at scale. Use of advanced analytics data pipelines or machine learning to improve assay QC and predictive performance. Background in therapeutic areas such as oncology, neuroscience or immunology and designing translational PD and biomarker strategies. Prior success in global matrix organizations and leading organizational change. What we offer A senior role reporting to the Global Head of Automation and Robotics, directly integrated to Takeda’s portfolio, supporting small and large molecule programs. Part of a senior Leadership team responsible for Sample Management, Hit Identification through DEL and HTS, IVP, High Throughput in vitro ADME and Automation. Competitive executive compensation equity and comprehensive benefits. Opportunity to build and scale a global multidisciplinary function with significant scientific and translational impact. Support for professional development conference participation and external scientific engagement. ADDITIONAL INFORMATION The position will be based in Cambridge, MA. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $212,000.00 - $333,190.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Job Exempt Yes It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

  • Cambridgeport, MA

  • no content

Executive Director, AIRx Program Lead: Biologics (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description About the role: Takeda Research is constructing a Lab of Tomorrow built on AI, automation, new ways of working, and talent with the singular vision of delivering differentiated medicines to the clinic at speed and cost. To catalyze these efforts, Takeda is creating two complementary units: AI Research Accelerator (AIRx) and Discovery Automation & Robotics (DAR). AIRx will have a dedicated group of experienced biologic drug hunters with the autonomy of a biotech and the resources of a leading pharmaceutical company. It is designed to incubate the future AI-powered operating models for large molecule discovery and deliver candidates to the clinic at industry leading speed and success rates. Objective: As AIRx Biologics Program Lead, you will own the end-to-end scientific and strategic direction of 2–3 large molecule discovery programs within a unit deliberately designed to remove the structural overhead that slows programs down in large pharma. AI-enabled protein design, internal or externalized wet lab execution, and a direct line to governance: this is the environment elite biologic drug hunters have been waiting for. You will work alongside top computational protein scientists, AI/ML specialists, protein structure and translational biology experts in a model where the science, not the governance calendar, drives the pace and progress. Programs here move because the structure is built for speed. Your job is to make sure that speed produces the right medicines. A proven track record of leading at least 3 biologic discovery programs to clinic is required. Accountabilities Lead and manage multiple biologic drug discovery projects in an AI-forward manner with urgency; oversee the entire discovery process from modality selection through preclinical development and IND filing Define, articulate, and evolve the program strategy for antibody, bispecific, fusion protein, or other large molecule modalities; build the medicine vision and early asset strategy including developability and manufacturability considerations Evaluate and prioritize biologic candidates based on scientific, clinical, CMC, and commercial considerations; balance potency, selectivity, half-life, immunogenicity risk, protein stability and expression yield in go/no-go decisions Lead and enable rapid, AI-enabled Design and Test cycles for protein engineering; ensure generative protein design and structure-prediction outputs are translated into clear experimental recommendations and fast, decisive go/no-go outcomes Drive sequence optimization, affinity maturation, Fc engineering, and formulation-ready candidate selection using integrated computational and experimental platforms Partner with Clinical and Translational teams to refine asset strategy; ensure clinical line of sight from early discovery including patient selection, biomarker strategy, and dose projection from PK/PD modeling Manage external CROs and CDMOs providing protein expression, purification, in vitro pharmacology, and GLP toxicology services; ensure timelines are met and data is decision-ready Represent Takeda externally for AIRx Biologics; evaluate external opportunities including platform technologies, novel modalities, and in-licensing candidates; serve as BD ambassador Ensure programs are delivered at pace with disciplined cost stewardship, contributing to a sustainable, high-quality pipeline of biologic INDs and informing broader portfolio strategy Qualifications & Competencies : Advanced degree in protein biochemistry, structural biology, molecular biology, immunology, or related life sciences (PhD, MD, or DVM); PhD strongly preferred 15 years of industry experience with deep subject matter expertise in biologic drug discovery; at least 10 years in scientific leadership roles within large molecule programs Proven track record leading 5 biologic programs across discovery from target inception to Candidate Nomination or beyond; minimum 3 biologic INDs required (antibody, bispecific, or fusion protein programs preferred) Deep knowledge of the biologic drug discovery and development process: target identification, hit generation (phage/yeast display, hybridoma, single B cell), lead optimization, developability assessment, and IND-enabling CMC and toxicology activities Expertise in protein engineering principles: affinity maturation, CDR optimization, Fc engineering, bispecific/multispecific antibody formats, linker design, and fusion protein architecture Strong AI/ML exposure and digital-forward scientific mindset; experience leveraging AI in protein design Solid understanding of large molecule DMPK: FcRn-mediated recycling, half-life extension strategies, subcutaneous absorption, immunogenicity risk assessment, and PK/PD modeling for dose projection Familiarity with biologic CMC considerations: expression systems (different hosts and stable cell line generation), purification, analytical characterization, and early formulation development as inputs to candidate selection Excellent and inclusive leadership; able to inspire and motivate cross-functional protein engineering, biology, and translational teams towards ambitious goals Exceptional communication skills; able to convey complex large molecule science to senior governance audiences and distill developability trade-offs into clear strategic recommendations Demonstrated success building strategic CRO and CDMO partnerships for biologics; strong business acumen including regulatory (BLA/MAA pathway) and commercial awareness Additional Information : The position will be based in Cambridge, MA. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $238,000.00 - $374,000.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Job Exempt Yes It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

  • Cambridgeport, MA

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Research Senior Scientist, Cheminformatics (BOSTON)

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Objective / Purpose: We are seeking a skilled cheminformatic scientist to join Takeda’s cheminformatics team. This role will be key to fostering a “prediction-first” culture, integrating cheminformatics, computational chemistry, and machine learning to accelerate drug design. The candidate will collaborate closely with global teams in medicinal chemistry, DMPK, and AI/ML, defining a roadmap for computational tools that empower medicinal chemists to drive innovation. Accountabilities: Design, automate and deploy cheminformatics workflows and visualization dashboards to support drug discovery projects. Identify opportunities throughout the DMTA cycle where predictive tools can drive acceleration. Build predictive models for molecule design and optimization. Extract medchem design knowledge from large-scale chemical and biological datasets. Stay updated with emerging trends in computational chemistry and machine learning as applied to drug discovery. Implement and execute innovative computational methodologies and tools such as AI-based drug discovery, generative chemistry, synthesizable chemical space exploration, DNA Encoded Library (DEL) data analysis and DEL/ML application. Serve as a trusted thought partner, helping to drive ideation and execution of innovative chemistry strategies that meet Takeda’s therapeutic goals. Education & Competencies (Technical and Behavioral): PhD in Computational Chemistry, Cheminformatics, Computer Science or related disciplines, with 2 years of experience in pharmaceutical or biotech setting. Solid programming and scripting capabilities (e.g., Python, R, C/C++) with a proven ability to design and automate scalable computational workflows. Strong expertise in cheminformatics toolkits such as RDKit Comprehensive knowledge of the DMTA cycle with demonstrated success in deploying predictive tools across the design process. Experience leading strategic initiatives to accelerate DMTA cycle. Experience with DEL data analysis and Multi-task DL method is a strong plus. ADDITIONAL INFORMATION The position will be based in Cambridge, MA Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $137,000.00 - $215,270.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Job Exempt Yes It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

  • Cambridgeport, MA

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