Research Scientist, Ai/ml Agentic Systems

Takeda

Boston, MA, United States
Base: $116,000.00 - $182,270.00; bonus/equity: not...
Hybrid
Large language models
Agentic ai frameworks
Python programming language
We are seeking a Research Scientist to develop agentic AI systems that transform how drug discovery research is conducted

Job Summary

  • We are seeking a Research Scientist to develop agentic AI systems that transform how drug discovery research is conducted.
  • You will translate standard research workflows into agentic frameworks, develop new agent skills, and deploy systems that augment scientist productivity.
  • U.S. Base Salary Range: $116,000.00 - $182,270.00; 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.

Matching Summary

We are seeking a Research Scientist to develop agentic AI systems that transform how drug discovery research is conducted.

Salary

Base: $116,000.00 - $182,270.00; Bonus/Equity: Not specified; 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, and well-being benefits

Skills & Requirements

Must-have

  • Large language models
  • Agentic AI frameworks
  • Python programming language
  • RAG systems
  • Drug discovery processes

Nice-to-have

  • Pharmaceutical R&D experience
  • Biology or chemistry background
  • Reinforcement learning algorithms
  • Scientific databases and APIs

Key Requirements

  • PhD in Computer Science, Computational Biology, Bioinformatics, or related field
  • Experience with large language models
  • Proficiency in Python
  • Experience with agentic AI frameworks
  • Experience building RAG systems
  • Understanding of drug discovery processes

Work Rights

Not specified

Tailored Resume

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