Senior Data Scientist, Imaging Foundation Models
Merck
August 19, 2026
Remote friendly (Cambridge, MA)
United States
IT
What You’ll Do
- Develop and train imaging foundation models for histopathology, focused on immune-relevant tissue and cellular patterns.
- Build segmentation-driven, cell-centric pipelines (immune cell typing, spatial organization, microenvironment analysis).
- Design interpretable workflows linking image-derived features to biological hypotheses and clinical endpoints.
- Use zero-shot and weakly supervised learning to extract immune signals from H&E and IHC data.
- Collaborate with immunologists, pathologists, and translational teams to ensure biological relevance and interpretability.
- Support imaging biomarker development, including companion diagnostics applications.
- Contribute to platform imaging strategies, QC standards, and best practices.
- Share findings via internal forums, publications, and scientific collaborations.
You Should Have
- PhD (or related STEM degree) with 0+ years postdoc, or Master’s with 4+ years industry experience.
- Strong expertise in computer vision and medical image analysis/multimodal data.
- Experience with segmentation/detection/representation learning (ideally histopathology).
- Familiarity with modern deep learning (transformers/vision foundation models).
- Proficiency in Python and PyTorch.
- Interest in immunology and tissue-based biomarker discovery.
- Ability to communicate with multidisciplinary partners.
Preferred Skills
- Experience with clinical/translational imaging biomarker programs.
- Publications in MICCAI, CVPR, NeurIPS, ISBI (or similar).
Required Skills (examples)
- Biomedical imaging, digital pathology, foundation models, deep learning, multimodal analysis, PyTorch, representation learning, transformer/ViT.
Benefits / Compensation
- Salary range: $144,800.00–$227,900.00; annual bonus/long-term incentive if applicable; comprehensive benefits (medical/dental/vision, retirement/401(k), paid time off).
Application
- Apply via https://jobs.merck.com/us/en (deadline stated on posting).
- Develop and train imaging foundation models for histopathology, focused on immune-relevant tissue and cellular patterns.
- Build segmentation-driven, cell-centric pipelines (immune cell typing, spatial organization, microenvironment analysis).
- Design interpretable workflows linking image-derived features to biological hypotheses and clinical endpoints.
- Use zero-shot and weakly supervised learning to extract immune signals from H&E and IHC data.
- Collaborate with immunologists, pathologists, and translational teams to ensure biological relevance and interpretability.
- Support imaging biomarker development, including companion diagnostics applications.
- Contribute to platform imaging strategies, QC standards, and best practices.
- Share findings via internal forums, publications, and scientific collaborations.
You Should Have
- PhD (or related STEM degree) with 0+ years postdoc, or Master’s with 4+ years industry experience.
- Strong expertise in computer vision and medical image analysis/multimodal data.
- Experience with segmentation/detection/representation learning (ideally histopathology).
- Familiarity with modern deep learning (transformers/vision foundation models).
- Proficiency in Python and PyTorch.
- Interest in immunology and tissue-based biomarker discovery.
- Ability to communicate with multidisciplinary partners.
Preferred Skills
- Experience with clinical/translational imaging biomarker programs.
- Publications in MICCAI, CVPR, NeurIPS, ISBI (or similar).
Required Skills (examples)
- Biomedical imaging, digital pathology, foundation models, deep learning, multimodal analysis, PyTorch, representation learning, transformer/ViT.
Benefits / Compensation
- Salary range: $144,800.00–$227,900.00; annual bonus/long-term incentive if applicable; comprehensive benefits (medical/dental/vision, retirement/401(k), paid time off).
Application
- Apply via https://jobs.merck.com/us/en (deadline stated on posting).