<p>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.</p> <p>Job Description</p> <p>Job Description</p> <p>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.</p> <p>Objective / Purpose:</p> <p>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.</p> <p>.</p> <p>Accountabilities:</p> <ul> <li> <p>Modeling & GenAI</p> </li><li> <p>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).</p> </li><li> <p>Develop GenAI-driven workflows for ternary complex prediction (target-E3-glue), binding pocket detection, and recruitment/degradation modeling.</p> </li><li> <p>Pipelines & Scale</p> </li><li> <p>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.</p> </li><li> <p>Automate large-scale ligand/mutation screening with geometry/covalency checks, pose-quality assessment, and multi-model consensus ranking.</p> </li><li> <p>Physics + AI</p> </li><li> <p>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.</p> </li><li> <p>Data & Benchmarking</p> </li><li> <p>Curate complex structural and proteomics datasets (including TPD recruitment/degradation data); design retrospective/prospective benchmarks and report robust metrics.</p> </li><li> <p>Productization & Collaboration</p> </li><li> <p>Package models as services/containers; deliver intuitive analysis apps/dashboards (e.g., Streamlit) and visualizations (e.g., PyMOL integrations).</p> </li><li> <p>Partner with medicinal chemists, structural biologists, and data scientists; plan experimental validation and communicate decisions clearly.</p> </li><li> <p>Impact & Visibility</p> </li><li> <p>Contribute to internal methods notes; author publications/posters for leading ML and scientific venues.</p> </li></ul> <p>Education & Competencies (Technical and Behavioral):</p> <ul> <li>MS in a scientific discipline (or equivalent) with 1+ years relevant experience, or BS with 3+ years relevant experience </li><li>TPD domain exposure (e.g., CRBN glues, E3 recruitment) and ternary complex or PPI modeling. </li><li>Co-folding/structure prediction (e.g., AlphaFold-Multimer/ESMFold/OpenFold) and pocket-guided design. </li><li>Physics/ML hybrid methods; peptide modeling with non-canonical amino acids. </li><li>Data systems (SQL/NoSQL), MLflow/Kubeflow/SageMaker; deployment on HPC/cloud. </li><li>Publications, preprints, or conference presentations; awards or open-source contributions. </li></ul> <p>Takeda Compensation and Benefits Summary</p> <p>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.</p> <p>For Location:</p> <p>Boston, MA</p> <p>U.S. Base Salary Range:</p> <p>$86,500.00 - $135,960.00</p> <p>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.</p> <p>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.</p> <p>EEO Statement</p> <p>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.</p> <p>Locations</p> <p>Boston, MA</p> <p>Worker Type</p> <p>Employee</p> <p>Worker Sub-Type</p> <p>Regular</p> <p>Time Type</p> <p>Full time</p> <p>Job Exempt</p> <p>Yes</p> <p>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.</p>