Data Scientist, AI for Biomedical Imaging

Job title: Data Scientist, AI for Biomedical Imaging

About the Role We are seeking a seasoned data scientist with deep expertise in AI-enabled image analysis to join the Data Science team in Discovery Sciences at Novartis Biomedical Research, Cambridge, MA. This role combines hands-on delivery of robust image analysis workflows with advanced AI method development, including biomedical image segmentation, representation learning, foundation models, and scalable deployment. The successful candidate will embed within the research community as the imaging-AI scientific lead, partnering directly with wet-lab scientists to translate complex biological questions into rigorous, reproducible analyses.

What You'll Do

• Lead AI-enabled image analysis strategies for complex biological imaging workflows, acting as the embedded imaging-AI scientific partner, working with wet-lab scientists to understand assay needs, align approaches with scientific priorities, platform standards, and communicate AI concepts accessibly.
• Identify high-impact opportunities where AI can deliver meaningful scientific value and define rigorous benchmarking and evaluation strategies to guide method selection.
• Develop, validate, and deploy robust image analysis algorithms to characterize cellular, organoid, tissue, and other complex biological phenotypes in high-throughput and high-content imaging data, generating reproducible outputs that support decision-making in drug discovery projects.
• Drive adoption of advanced AI methods for imaging, including deep learning, vision foundation models, embedding-based phenotyping, segmentation, classification, and multimodal integration, translating state-of-the-art methods into practical, validated workflows that augment expert review and enable scalable interpretation of large, high-dimensional datasets.
• Contribute to scalable, reusable image analysis workflows in partnership with other data scientists, data engineering, and platform teams, championing best practices across the workflow lifecycle.

What We're Looking For

• PhD in computer science, AI, machine learning, biomedical image analysis, computational imaging.
• Deep expertise in AI-enabled image analysis for biomedical imaging, including segmentation, representation learning, and foundation models.
• Ability to collaborate with wet-lab scientists and translate complex AI concepts into accessible terms.
• Experience with high-throughput and high-content imaging is desirable.