Senior AI Data Scientist

Merck•Rahway, NJ
•$117,000 - $184,200•Hybrid

About The Position

The Senior AI Data Scientist works at the intersection of AI, data, and pharmaceutical Research & Development. The role applies data analytics, scientific reasoning, and generative AI agentic approaches to address complex scientific problems. The successful candidate will deliver solutions across pharmaceutical R&D and work with scientists, clinicians, and regulatory agencies to translate scientific problems into tangible outcomes. The position also communicates technical and non-technical concepts and authors formal data analytic protocols and reports. The role requires demonstrated hands-on expertise with agentic AI and experience building, scaling, and managing computer vision systems in production. Relevant work includes end-to-end preprocessing of gigapixel whole-slide images and applying deep learning to histology tasks, along with familiarity with modern vision foundation models for feature extraction and downstream fine-tuning. The position is hybrid, based primarily in Rahway, New Jersey, with additional locations potentially available. Travel requirements are 10%.

Requirements

  • PhD or Master's degree with relevant quantitative education.
  • Demonstrated hands-on expertise with agentic AI, supported by concrete examples of solutions, tools, research, or applications.
  • Evidence of passion for rapid learning, experience in project management, ability to work independently and collaboratively in a cross-functional team, and excellent communication.
  • Proven record of building, scaling, and managing computer vision systems in production.
  • End-to-end experience preprocessing gigapixel whole-slide images and applying deep learning to histology tasks.
  • Familiarity with modern vision foundation models for feature extraction and downstream fine-tuning.
  • Skills in applied statistics, computational biology, computer vision, data analysis, data management, data science, generative AI, histology, statistical analysis techniques, statistical models, study design, and vision systems.

Responsibilities

  • Deliver solutions to challenging problems across pharmaceutical Research & Development.
  • Collaborate with scientists, clinicians, and regulatory agencies to translate scientific problems into tangible solutions.
  • Communicate ideas and concepts clearly to technical and non-technical audiences.
  • Author formal data analytic protocols and reports.
  • Build, scale, and manage computer vision systems in production.

Benefits

  • Medical, dental, and vision healthcare benefits and other insurance benefits for employees and family.
  • Retirement benefits, including 401(k).
  • Paid holidays, vacation, compassionate days, and sick days.
  • Eligible for annual bonus and long-term incentive, if applicable.
  • Domestic relocation.
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