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 model development
Foundation model fine-tuning and alignment
Agentic ai system design and orchestration
Merck & Co., Inc. is seeking a Senior Specialist in Data Science to lead the development and deployment of advanced computational toxicology capabilities. The position requires expertise in AI/ML, particularly in the context of drug safety and regulatory compliance, and offers a hybrid work model with comprehensive benefits

Job Summary

  • The role focuses on driving next-generation computational toxicology capabilities to accelerate safer drug discovery using advanced AI and foundation models.
  • Candidates will lead cross-functional projects to deliver production-grade models while establishing governance frameworks for responsible and ethical AI use 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: 85

Merck & Co., Inc. is seeking a Senior Specialist in Data Science to lead the development and deployment of advanced computational toxicology capabilities. The position requires expertise in AI/ML, particularly in the context of drug safety and regulatory compliance, and offers a hybrid work model with comprehensive benefits.

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 model development
  • Foundation model fine-tuning and alignment
  • Agentic AI system design and orchestration
  • Multimodal dataset integration and modeling
  • Python programming with PyTorch or TensorFlow
  • MLOps tools and cloud platform experience

Nice-to-have

  • Probabilistic and Bayesian modeling expertise
  • Uncertainty quantification and causal inference
  • Regulated environment and compliance experience
  • Strong publication record in life sciences
  • Human-in-the-loop workflow design
  • Reinforcement learning for agent behavior

Key Requirements

  • Ph.D. or M.S. in Computer Science or related field
  • 0+ years post-PhD or 3+ years post-MS experience
  • Hands-on experience with LLMs and agentic AI frameworks
  • VISA Sponsorship available

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter