Takeda · 1 day ago
Research Senior Scientist, AI/ML (Biologics)
Boston, MA
Full-time
Onsite
Mid, Senior Level
$137K/yr - $215K/yr
2+ years expTakeda is a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. They are seeking an innovative and dynamic AI/ML Research Senior Scientist to leverage AI/ML in antibody discovery and design, working within a multidisciplinary team to drive breakthrough discoveries in large molecule therapeutics.
BiotechnologyHealth CareManufacturingMedicalPharmaceutical
Responsibilities
Develop and implement state-of-the-art AI/ML methodologies for de novo antibody design and discovery, including fine-tuning protein language models and generative protein design
Develop, implement, and deploy advanced machine learning algorithms for the multi-objective optimization of antibodies, antigens, ADCs, and other biologics
Build tools to incorporate data from integrated Design-Predict-Make-Confirm cycles with automated experimental platforms generating quality data at scale needed for project-specific and foundational models
Innovate, develop, and apply predictive models for protein design and developability engineering, utilizing large-scale NGS, in vitro, in vivo and other proprietary in-house and external data sources
Manage and process large-scale biological datasets for model training and evaluation
Stay abreast of advancements in NLP, ML, and generative AI to build novel tools that enhance therapeutic discovery and development
Collaborate with internal experts to optimize the computational discovery infrastructure, offering both individual and team-based innovative solutions
Communicate complex scientific ideas effectively to both technical and non-technical audiences, fostering collaboration across multidisciplinary teams
Qualification
Required
PhD degree in a scientific discipline (or equivalent) with 2+ years relevant experience, or MS with 8+ years relevant experience, or BS with 10+ years relevant experience
Proven track record in developing machine learning models for chemical and biological data, including AI/ML-enabled molecular generation and affinity prediction
Demonstrated experience in modeling antibody/ antigen sequence, structure and interaction
Proficiency in programming languages such as Python and experience with cloud computing capabilities
Strong analytical and problem-solving skills, with demonstrated creativity and the ability to contribute individually and collaboratively
Versatile communicator who can elucidate complex ideas to non-specialists and commitment to continuous improvement and innovation
Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of uncertainty and change
Strong problem-solving aptitude and strategic thinking with an entrepreneurial mindset
Preferred
Experience developing or applying modern ML architectures for antibody design models (LLMs, diffusion models, flow-matching, Bayesian Optimization, GNNs, etc.)
Experience designing de novo binders for specified targets and epitopes
Experience analyzing NGS-derived antibody repertoires for sequence- and structure-based design
Experience with molecular simulation and conformational analysis techniques
Benefits
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
Well-being benefits
Up to 80 hours of sick time
Up to 120 hours of paid vacation
Company
Takeda
Takeda is a biopharmaceutical company that researches and develops pharmaceutical drugs.
10001+ employees
H1B Sponsorship
Takeda has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (39)
2023 (38)
2022 (34)
2021 (44)
2020 (18)
Funding
Current Stage
Public CompanyTotal Funding
$2.46B2025-06-27Post Ipo Debt· $2.4B
2016-09-01Grant· $19.8M
2016-05-08Grant· $38M
Leadership Team
Christophe Weber
President and CEO
Schuyler Fairfield
Senior Vice President, Global Head of Supply Chain
Recent News
2026-01-08
2026-01-07
Company data provided by crunchbase