Research Senior Scientist Ai/ml – Agentic Systems

Takeda

Cambridge, MA, US
Base: $137,000.00 - $215,270.00; bonus/equity: not...
Onsite
Large language models (llm)
Agentic ai frameworks
Python programming
Takeda is seeking a Research Senior Scientist specializing in AI/ML for drug discovery in Cambridge, MA. The role involves developing autonomous AI systems and requires expertise in large language models and drug discovery processes

Job Summary

  • The AI/ML organization at Takeda is building a team to transform how medicines are discovered by applying AI and machine learning across the entire drug discovery process.
  • We are seeking Senior Scientists to develop agentic AI systems that transform how drug discovery research is conducted, building autonomous AI agents capable of reasoning, planning, and executing complex scientific workflows.
  • This role requires a unique combination of expertise in large language models, agentic frameworks, and understanding of drug discovery processes, partnering with research scientists to ensure scientific rigor and utility.

Matching Summary

Match Score: 85

Takeda is seeking a Research Senior Scientist specializing in AI/ML for drug discovery in Cambridge, MA. The role involves developing autonomous AI systems and requires expertise in large language models and drug discovery processes.

Salary

Base: $137,000.00 - $215,270.00; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k) plan and company match, disability coverage, life insurance, tuition reimbursement, paid volunteer time off, company holidays, well-being benefits, sick time, paid vacation

Skills & Requirements

Must-have

  • Large language models (LLM)
  • Agentic AI frameworks
  • Python programming
  • Retrieval-Augmented Generation (RAG)
  • Drug discovery processes
  • Scientific workflows

Nice-to-have

  • Cross-functional leadership
  • Translating computational insights
  • Thought leadership in AI for biology
  • Fast-paced innovation environments

Key Requirements

  • PhD in relevant field with 2+ years experience or MS with 6+ years experience
  • Strong experience with LLMs
  • Proficiency in Python
  • Experience with agentic AI frameworks
  • Experience building RAG systems
  • Understanding of drug discovery processes

Work Rights

Not specified

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