Senior Specialist, Data Science

539

Base: $129,000.00 - $203,100.00; bonus/equity: ann...
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 with pytorch or tensorflow
The Senior Specialist, Data Science position at 539 is focused on developing and deploying advanced AI/ML solutions in the realm of computational toxicology, aimed at enhancing drug discovery processes. The ideal candidate will possess a strong background in machine learning, particularly with large language models, and will work collaboratively across various scientific disciplines

Job Summary

  • The role focuses on driving the development of next-generation computational toxicology capabilities to accelerate safer drug discovery.
  • Candidates will lead cross-functional projects to deliver production-grade models and agentic systems while establishing governance practices.
  • The position offers a comprehensive benefits package including medical, dental, vision, retirement plans, and paid time off.

Matching Summary

Match Score: 85

The Senior Specialist, Data Science position at 539 is focused on developing and deploying advanced AI/ML solutions in the realm of computational toxicology, aimed at enhancing drug discovery processes. The ideal candidate will possess a strong background in machine learning, particularly with large language models, and will work collaboratively across various scientific disciplines.

Salary

Base: $129,000.00 - $203,100.00; Bonus/Equity: Annual bonus and long-term incentive eligible; 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 with PyTorch or TensorFlow
  • Integration of multimodal datasets including omics and chemical data
  • MLOps tools and cloud platform experience (AWS preferred)
  • Strong communication skills for cross-functional collaboration

Nice-to-have

  • Publication record applying AI/ML to life sciences
  • Experience with probabilistic or Bayesian modeling
  • Prior work in regulated environments for regulatory-ready models
  • Knowledge of causal inference and uncertainty quantification
  • Experience designing human-in-the-loop workflows

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
  • US and Puerto Rico residents only
  • Visa sponsorship available

Work Rights

US and Puerto Rico Residents Only

Sponsorship: available

Tailored Resume

Cover Letter