Senior Specialist, Data Science

Merck & Co., Inc.

Base: $129,000.00 - $203,100.00; bonus/equity: ann...
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Advanced machine learning and foundation model engineering
Experience with large language models and agentic ai frameworks
Hands-on python development with pytorch or tensorflow
** Merck & Co., Inc. is seeking a Senior Specialist in Data Science to lead the development and deployment of advanced computational toxicology capabilities, focusing on AI/ML technologies. The role requires expertise in machine learning models, collaboration across diverse teams, and adherence to regulatory standards. **

Job Summary

  • The role focuses on driving the development of next-generation computational toxicology capabilities using advanced AI and ML to support 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 competitive salary range of $129,000.00 - $203,100.00 along with comprehensive benefits including medical, dental, vision, and retirement plans.

Matching Summary

Match Score: 75

** Merck & Co., Inc. is seeking a Senior Specialist in Data Science to lead the development and deployment of advanced computational toxicology capabilities, focusing on AI/ML technologies. The role requires expertise in machine learning models, collaboration across diverse teams, and adherence to regulatory standards. **

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)

Nice-to-have

  • Publication record applying AI/ML to life sciences
  • Experience with probabilistic Bayesian modeling and uncertainty quantification
  • Prior work in regulated environments developing regulator-ready models
  • Background in causal inference and reinforcement learning

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 deployment
  • VISA Sponsorship available for eligible candidates

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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