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# Senior AI Data Scientist

- **Company:** Merck & Co., Inc.
- **Location:** Rahway, NJ, United States
- **Experience:** Expert
- **Salary:** $117,000 - $184,200
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Computational Biology, Data Transformation, Visual Systems, Deep Learning, Generative AI, Data Analytics, Data Management, Feature Extraction
- **Published:** November 13, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nj/rahway/8705ef3b-aaa0-4d1f-bab7-863b1a7ced6b

## About the Role

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 approach to solve complex scientific problems., * 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, work independently and collaboratively in a cross functional team, and excellent communication
 * Proven record of building, scaling, and managing computer vision systems in production

Experience:

 * End-to-end experience in 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

#EligibleforERP

BARDS2020

Required Skills:
Applied Statistics, Computational Biology, Computer Vision, Data Analysis, Data Management, Data Science, Generative AI, Histology, Statistical Analysis Techniques, Statistical Models, Study Design, Vision Systems

## Description

* 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, both technical and non-technical audiences.
 * Author formal data analytic protocols and reports.