Senior Specialist, Data Science

Merck & Co., Inc.

Base: $129,000.00 - $203,100.00; bonus/equity: ann...
Hybrid (3 days on-site, 1 day remote)
Advanced machine learning and foundation model engineering
Experience with large language models and agentic ai frameworks
Integration of multimodal datasets including omics and chemical data
Merck & Co., Inc. is seeking a Senior Specialist in Data Science to enhance their Computational Toxicology Group through the development and deployment of advanced AI/ML solutions for drug safety. The ideal candidate will have a strong background in machine learning, computational biology, and experience with large language models. This hybrid role offers competitive benefits, including a comprehensive health plan and a robust salary range

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 establish governance practices for 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 401(k).

Matching Summary

Match Score: 85

Merck & Co., Inc. is seeking a Senior Specialist in Data Science to enhance their Computational Toxicology Group through the development and deployment of advanced AI/ML solutions for drug safety. The ideal candidate will have a strong background in machine learning, computational biology, and experience with large language models. This hybrid role offers competitive benefits, including a comprehensive health plan and a robust salary range.

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
  • Integration of multimodal datasets including omics and chemical data
  • Strong Python software development skills with PyTorch or TensorFlow
  • MLOps tools and cloud platform experience (AWS preferred)

Nice-to-have

  • Demonstrated publication record in life sciences AI applications
  • Experience with probabilistic modeling and uncertainty quantification
  • Prior work in regulated environments developing regulator-ready models
  • Knowledge of causal inference and reinforcement learning for agents

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
  • Hands-on experience with fine-tuning and alignment of foundation models
  • VISA Sponsorship: Yes

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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