Senior Data Scientist, Agentic Ai And Machine Learning

29

South San Francisco, CA, US
Base: $129,000 - $203,100; bonus/equity: eligible ...
Hybrid
Agentic ai framework design and deployment
Large language model fine-tuning and prompting
Python programming and mlops tooling
This role is responsible for developing, benchmarking, and deploying world-class agentic AI and Machine Learning solutions within the Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics department

Job Summary

  • This role is responsible for developing, benchmarking, and deploying world-class agentic AI and Machine Learning solutions within the Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics department.
  • The successful candidate will partner with scientists and leaders to translate complex scientific needs into clear AI/ML solution requirements that improve decision-making across the drug development lifecycle.
  • Candidates must demonstrate strong technical expertise in foundation models and agent orchestration while effectively communicating trade-offs to both technical and non-technical audiences.

Matching Summary

This role is responsible for developing, benchmarking, and deploying world-class agentic AI and Machine Learning solutions within the Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics department.

Salary

Base: $129,000 - $203,100; Bonus/Equity: Eligible for annual bonus and long-term incentive; Benefits: Comprehensive medical, dental, vision, 401(k), paid holidays, and vacation

Skills & Requirements

Must-have

  • Agentic AI framework design and deployment
  • Large language model fine-tuning and prompting
  • Python programming and MLOps tooling
  • Multimodal data modeling and integration
  • Model benchmarking and drift monitoring

Nice-to-have

  • Cross-functional stakeholder management skills
  • Experience in GxP regulated environments
  • PK/PD modeling and clinical pharmacology knowledge
  • Human-in-the-loop workflow implementation
  • Strong written and verbal communication abilities

Key Requirements

  • Master's or Ph.D. in Data Science, Computer Science, or related field
  • Hands-on experience with LLMs and agentic AI frameworks
  • Proven track record integrating multimodal datasets
  • Strong software development skills in Python
  • Experience driving consensus in cross-functional teams

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter