The role involves developing AI/ML workflows for drug discovery using GPU acceleration, modeling, data evaluation, and collaboration with scientists.
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
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:
Join a cross-functional discovery group to build and deploy GPU-accelerated AI/ML workflows that push the frontier of structure-based design across targeted protein degradation (TPD) and small molecules. The candidate will combine 3D generative modeling with physics-aware scoring, high-throughput automation, and rigorous benchmarking to improve hit finding, chemotype diversity, and lead optimization.
.
Accountabilities:
Education & Competencies (Technical and Behavioral):
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:
$86,500.00 - $135,960.00
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.
Job Description
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:
Join a cross-functional discovery group to build and deploy GPU-accelerated AI/ML workflows that push the frontier of structure-based design across targeted protein degradation (TPD) and small molecules. The candidate will combine 3D generative modeling with physics-aware scoring, high-throughput automation, and rigorous benchmarking to improve hit finding, chemotype diversity, and lead optimization.
.
Accountabilities:
- Modeling & GenAI
- Train/finetune diffusion, transformer, and equivariant GNN models for pocket-aware ligand design, pose/affinity prediction, and sequence/structure tasks (co-folding, multimer/ternary modeling).
- Develop GenAI-driven workflows for ternary complex prediction (target-E3-glue), binding pocket detection, and recruitment/degradation modeling.
- Pipelines & Scale
- Build end-to-end, reproducible pipelines for MSA/co-folding feature generation, data QC, training, and evaluation with experiment tracking; accelerate on multi-GPU/HPC and cloud.
- Automate large-scale ligand/mutation screening with geometry/covalency checks, pose-quality assessment, and multi-model consensus ranking.
- Physics + AI
- Integrate docking/MD/MM/GBSA or related physics-based components with learned models to improve prioritization for peptides (including non-canonical AAs) and small molecules.
- Data & Benchmarking
- Curate complex structural and proteomics datasets (including TPD recruitment/degradation data); design retrospective/prospective benchmarks and report robust metrics.
- Productization & Collaboration
- Package models as services/containers; deliver intuitive analysis apps/dashboards (e.g., Streamlit) and visualizations (e.g., PyMOL integrations).
- Partner with medicinal chemists, structural biologists, and data scientists; plan experimental validation and communicate decisions clearly.
- Impact & Visibility
- Contribute to internal methods notes; author publications/posters for leading ML and scientific venues.
Education & Competencies (Technical and Behavioral):
- MS in a scientific discipline (or equivalent) with 1+ years relevant experience, or BS with 3+ years relevant experience
- TPD domain exposure (e.g., CRBN glues, E3 recruitment) and ternary complex or PPI modeling.
- Co-folding/structure prediction (e.g., AlphaFold-Multimer/ESMFold/OpenFold) and pocket-guided design.
- Physics/ML hybrid methods; peptide modeling with non-canonical amino acids.
- Data systems (SQL/NoSQL), MLflow/Kubeflow/SageMaker; deployment on HPC/cloud.
- Publications, preprints, or conference presentations; awards or open-source contributions.
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:
$86,500.00 - $135,960.00
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.
Top Skills
AI
Alphafold-Multimer
Cloud
Esmfold
Gpu
Hpc
Kubeflow
Ml
Mlflow
NoSQL
Openfold
Pymol
Sagemaker
SQL
Takeda Cambridge, Massachusetts, USA Office
Takeda Takeda United States Headquarters Office



Our offices in Massachusetts span across the greater Boston area, including a state of the art research facility in the heart of Kendall Square. Our location enables us to build relationships with cutting-edge companies, leading research hospitals, academic institutions, and more
Takeda Lexington, Massachusetts, USA Office
300 Shire Way, Lexington, MA, United States, 02421
Product + Tech




Data and digital solutions are the new engines of a high performing, agile business. Right now, people like you are harnessing that power to reimagine industries of every kind. No matter what role you take on or where that position sits within Takeda, you can be sure to make an impact and a difference to our company and the patients we serve.
Similar Jobs at Takeda
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
The Medical Director oversees safety strategy for pharmaceutical products, leads safety teams, analyzes safety data, and interacts with regulatory authorities ensuring compliance and risk management.
Top Skills:
Clinical Data AnalysisPharmaceutical ProductsRegulatory Guidelines
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
The role involves performing laboratory assays, analyzing data, collaborating on method automation, and maintaining documentation in a Quality Control environment.
Top Skills:
Cell CultureElectronic Laboratory NotebooksImmunoassaysLimsPcrRna/Dna Isolation
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Manage access marketing strategies for oncology products, collaborating with teams to optimize market access and develop training materials.
Top Skills:
Data AnalyticsMarket Access StrategiesPricing And Reimbursement
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories