AI/ML Imaging Data Scientist - Personalized Healthcare (Medical Imaging)

About the role

This role is based in the Digital Endpoints and Patient-Centered Solutions (DEPCS) team, the innovative digital, AI, and tech function within Roche Product Development Data Sciences (PDD). Operating across the Science of Medicines and Operations, DEPCS is responsible for embedding patient-centered and AI-enabled digital solutions into the fabric of clinical research. By integrating data science, measurement science, and digital product thinking, DEPCS delivers scalable and regulatory-ready innovations that enhance trial design, evidence generation, and clinical value of Roche medicines. This position is based in South San Francisco, on site.

Responsibilities

• Design, build, and deploy machine learning image analysis solutions to enhance clinical trials and accelerate data-driven decision‑making in drug development.
• Collaborate across clinical, imaging, data science, and engineering teams.
• Contribute to the development of multimodal AI solutions, particularly in imaging and unstructured data, to drive Roche’s patient‑centered and AI‑enabled innovation agenda.
• Design, develop, and deploy AI‑based solutions to enhance clinical trial design, conduct, interpretation, and probability of success, from early to late‑stage drug development.
• Design and implement advanced image analysis applications using standard image analysis techniques, vision foundation models, and machine learning algorithms tailored to clinical trial data across disease areas including oncology, neuroscience, and ophthalmology, following best AI/ML model development practices.
• Collaborate cross‑functionally with clinicians, biostatisticians, imaging experts, MLOps, and other data scientists to integrate machine learning models into Roche platforms and clinical workflows.
• Analyze complex imaging, biological, and clinical data to generate insights supporting decision‑making in clinical development.
• Work closely with the MLOps and clinical imaging data management groups to deploy, maintain, and integrate computational solutions.
• Utilize and build on experience in scientific/medical imaging, data and image management, application of novel statistical and machine learning approaches to large unstructured data, software development, and scientific data transfers.
• Present technical insights to both scientific and non‑technical audiences.
• Contribute to the publication of findings and to internal knowledge development efforts.
• Maintain awareness of trends in AI/ML, imaging and digital biomarkers, and clinical AI.

Requirements

You hold an MSc or PhD (preferred) in Computer Science, Machine Learning, Statistics, Electrical Engineering, Biomedical Engineering, or a related field. You have 2+ years of post‑graduate experience in machine learning, data science,