Senior Specialist, Data Science

29

Base: $129,000.00 - $203,100.00; bonus/equity: eli...
Hybrid (3 days onsite, 1 day remote)
Advanced machine learning and foundation model engineering
Experience with large language models and agentic ai frameworks
Hands-on python development and mlops tool proficiency
The Senior Specialist, Data Science position at 29 focuses on advanced AI/ML applications in computational toxicology to enhance drug discovery and regulatory compliance. The role requires collaboration across various scientific disciplines and emphasizes ethical AI practices

Job Summary

  • The role focuses on driving the development of next-generation computational toxicology capabilities using advanced AI and ML to accelerate safer drug discovery.
  • Candidates will lead cross-functional projects to deliver production-grade models and establish governance practices ensuring reproducibility and ethical AI use.
  • The position offers a comprehensive benefits package including medical, dental, vision, retirement plans, and eligibility for annual bonuses and long-term incentives.

Matching Summary

Match Score: 85

The Senior Specialist, Data Science position at 29 focuses on advanced AI/ML applications in computational toxicology to enhance drug discovery and regulatory compliance. The role requires collaboration across various scientific disciplines and emphasizes ethical AI practices.

Salary

Base: $129,000.00 - $203,100.00; Bonus/Equity: Eligible for annual bonus and long-term incentive; Benefits: Medical, dental, vision, 401(k), paid holidays, vacation

Skills & Requirements

Must-have

  • Advanced machine learning and foundation model engineering
  • Experience with large language models and agentic AI frameworks
  • Hands-on Python development and MLOps tool proficiency
  • Integration of multimodal datasets including omics and chemical data
  • Cloud platform experience with AWS and HPC environments

Nice-to-have

  • Publication record applying AI to life sciences or toxicology
  • Experience with probabilistic modeling and uncertainty quantification
  • Prior work in regulated environments developing regulator-ready models
  • Background in reinforcement learning for agent behavior control

Key Requirements

  • Ph.D. or M.S. in Computer Science, Computational Biology, or related field
  • 0+ years post-PhD or 3+ years post-MS experience in AI/ML
  • VISA Sponsorship: Yes

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter