TakedaPharmaceutical Nordics AB · 4 days ago
Research Senior Scientist AI/ML – Agentic Systems
Boston, MA
Full-time
Onsite
Mid, Senior Level
$137K/yr - $215K/yr
2+ years expTakeda Pharmaceuticals is a forward-looking, world-class R&D organization that focuses on unlocking innovation and delivering transformative therapies to patients. They are seeking a Senior Scientist to develop agentic AI systems that enhance drug discovery research, requiring expertise in AI, machine learning, and drug discovery processes.
Pharmaceuticals
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
Medical, dental, vision insurance
401(k) plan and company match
Short-term and long-term disability coverage
Basic life insurance
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
TakedaPharmaceutical Nordics AB
Takeda Pharma AB is engaged in sales marketing For USA
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase