Senior AI Data Scientist

MSD•Rahway, NJ
•Hybrid

About The Position

We are seeking a highly motivated quantitative scientist to work at the intersection of AI, data, and pharmaceutical Research & Development. The successful candidate will combine strong data analytic and scientific reasoning with demonstrated ability to use generative AI agentic approaches to solve complex scientific problems. The role involves delivering solutions to challenging problems across pharmaceutical Research & Development and collaborating with scientists, clinicians, and regulatory agencies to translate scientific problems into tangible solutions. The scientist will communicate ideas clearly to technical and non-technical audiences and author formal data analytic protocols and reports. The position is based primarily in Rahway, New Jersey, with a hybrid work arrangement and 10% travel. Domestic relocation is listed, and visa sponsorship is available. The role is a regular employee position.

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, project management experience, 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.
  • Required skills include 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.

Nice To Haves

  • Familiarity with modern vision foundation models for feature extraction and downstream fine-tuning.

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.
  • Preprocess gigapixel whole-slide images and apply deep learning to histology tasks.

Benefits

  • Medical, dental, and vision healthcare benefits.
  • Other insurance benefits for employees and their families.
  • Retirement benefits, including a 401(k).
  • Paid holidays.
  • Vacation.
  • Compassionate and sick days.
  • Eligibility for an annual bonus and long-term incentive, if applicable.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service