Within DAGS, our AI/ML team drives innovation across disease areas by building biologically grounded and interpretable imaging pipelines. In Immunology, digital pathology plays a critical role in understanding tissue level immune mechanisms and supporting companion diagnostics. We are seeking a Senior Data Scientist with strong expertise in computer vision and biomedical imaging to develop scalable imaging foundation models and interpretable pipelines for immunology and oncology biomarker discovery.
Requirements
- PhD in Computer Science, Engineering, Data Science, AI/ML, Bioinformatics, Computational Biology, Genetics & Genomics, Mathematics, Statistics, Physics, Pharmaceutical Science, or related STEM field with 0+ years postdoctoral experience or Master’s degree with 4+ years of industry experience.
- Strong expertise in computer vision and medical image analysis and/or multimodal data.
- Experience building and/or applying models for segmentation, detection, and representation learning, ideally in histopathology.
- Familiarity with modern deep learning architectures (e.g., transformers, vision foundation models).
- Proficiency in Python and deep learning frameworks such as PyTorch.
- Strong interest in immunology and tissue‐based biomarker discovery.
- Ability to communicate complex technical ideas to multidisciplinary scientific partners.
Benefits
- Medical, dental, vision healthcare and other insurance benefits (for employee and family)
- Retirement benefits, including 401(k)
- Paid holidays, vacation, and compassionate and sick days
To apply for this job please visit msd.wd5.myworkdayjobs.com.

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