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 deep learning
Foundation model fine-tuning and alignment
Agentic ai system design and orchestration
** Merck & Co., Inc. is seeking a Senior Specialist in Data Science within its Computational Toxicology Group to lead the development of advanced AI/ML solutions aimed at enhancing drug safety and discovery. The ideal candidate will possess strong expertise in machine learning, toxicology, and cross-functional project leadership, with a focus on 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 agentic systems while establishing governance practices for responsible AI in preclinical research.
  • 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 within its Computational Toxicology Group to lead the development of advanced AI/ML solutions aimed at enhancing drug safety and discovery. The ideal candidate will possess strong expertise in machine learning, toxicology, and cross-functional project leadership, with a focus on ethical AI practices. **

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 deep learning
  • Foundation model fine-tuning and alignment
  • Agentic AI system design and orchestration
  • Multimodal data modeling (omics, chemical, imaging)
  • Python programming with PyTorch or TensorFlow
  • MLOps tools and cloud platform experience

Nice-to-have

  • Probabilistic and Bayesian modeling expertise
  • Causal inference and uncertainty quantification
  • Regulated environment and regulatory-ready models
  • Human-in-the-loop workflow design
  • Reinforcement learning for agent behavior
  • Publication record in life sciences AI

Key Requirements

  • Ph.D. or M.S. in Computer Science, Computational Biology, or related field
  • 3+ years post-MS or 0+ years post-PhD experience in AI/ML
  • Hands-on experience with LLMs and agentic AI frameworks
  • Strong software development skills in Python
  • Experience with AWS or HPC environments

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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