Takeda · 1 day ago
Research Senior Scientist AI/ML – Agentic Systems
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 a Senior Scientist to develop agentic AI systems that transform how drug discovery research is conducted, focusing on building autonomous AI agents capable of executing complex scientific workflows.
BiotechnologyHealth CareManufacturingMedicalPharmaceutical
Responsibilities
Develop agentic AI systems for drug discovery applications including target-disease association, automated literature search and synthesis, hypothesis generation, and intelligent design of experiments
Translate standard research workflows into agentic frameworks—decomposing complex scientific processes into autonomous agent tasks that can reason, plan, execute tools, and iterate based on results
Design and implement new agent skills (tools, functions, APIs) that extend agentic capabilities to specialized scientific domains including molecular design, property prediction, assay planning, and data analysis
Build agentic systems that integrate with foundation models and external knowledge sources for autonomous hypothesis generation, evidence retrieval, and scientific reasoning
Develop retrieval-augmented generation (RAG) pipelines connecting agents to internal and external scientific literature, databases, and experimental results
Partner with research scientists to understand workflow needs, validate agent outputs, and iterate on system design to ensure scientific rigor and utility
Stay current with advances in agentic AI, LLM applications, and scientific automation; contribute to internal knowledge sharing and external publications
Qualification
Required
PhD in Computer Science, Computational Biology, Bioinformatics, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience
Strong experience with large language models (GPT, Claude, Llama) and their application to complex reasoning tasks
Proficiency in Python and experience with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)
Experience building RAG systems including vector databases, embedding models, and retrieval pipelines
Understanding of drug discovery processes and scientific research workflows
Strong problem-solving skills and ability to translate complex scientific processes into computational workflows
Preferred
Experience in pharmaceutical or biotech R&D environments
Background in biology, chemistry, or disease biology
Experience with reinforcement learning or planning algorithms for agent decision-making
Familiarity with scientific databases (PubMed, UniProt, ChEMBL) and APIs
Experience deploying AI systems in production environments
Track record of publications or presentations on LLM applications
Benefits
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.
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
2026-01-07
Company data provided by crunchbase