Senior Computational & Applied AI - Scientist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters.

A healthier future. It’s what drives us to innovate - to continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

This role will ensure that the REDs are supported and enabled with world-leading imaging data analysis capabilities while supporting our projects through the clinical stages. You will be a member of the Imaging Data Insights team within the Computational Medicine department, working with a group of imaging experts located in Basel, Penzberg and South San Francisco, and reporting to the Group Leader - Imaging Data Insights Europe.

Within this role, you will contribute your expertise in quantitative image analysis and data science to generate insights that advance our understanding of disease biology, patient heterogeneity, and treatment response, and to inform biomarker strategies. In collaboration with our stakeholders, you will design and implement innovative analytical approaches that transform complex imaging data into actionable evidence, guiding data-driven decision-making across the clinical development portfolio.

You will be part of the wider Computational Biology and Medicine unit within the Computational Sciences CoE, drawing on the shared experience and expertise of colleagues globally. To deliver on portfolio needs, you will collaborate closely with other teams in Computational Medicine, Computational Biology, and our disease area partners, integrating imaging data with other modalities such as clinical, digital, and omics data.

The Imaging Data Insights Basel team is collectively accountable for delivering critical data-driven insights that inform the portfolio. Your success will be measured by the impact of your contributions on project outcomes and by the success of the team in achieving Pharma objectives.

In this role, you will:

• Formulate scientific questions and design computational analysis strategies in close partnership with stakeholders across disease areas, clinical sciences, biomarker, and translational medicine
• Develop and apply state-of-the-art AI/ML approaches for biomedical imaging and multimodal data integration to derive quantitative, reproducible biomarkers
• Leverage modern AI technologies - including Generative AI and Agentic AI systems - to accelerate scientific workflows, automate complex analyses, and enhance decision-making
• Analyze biomedical imaging data from preclinical studies and clinical trials to support study design, patient stratification, biomarker development, drug differentiation, endpoint strategies, and portfolio decisions
• Develop, maintain, and document scalable, reusable computational workflows, software, and analysis pipelines aligned with global standards and best practices
• Represent the Imaging Data Insights team as a trusted, strategic partner; build collaborative relationships across the enterprise, align shared objectives, communicate findings effectively, and deliver collective portfolio impact
• Mentor junior scientists and actively contribute to fostering technical excellence, psychological safety, open feedback, inclusion, continuous learning, and a collaborative team culture

• PhD in a scientific or technical discipline (e.g., computer science, biomedical engineering, applied mathematics, physics, or similar) or equivalent qualification, together with 3+ years of professional experience in pharmaceutical R&D
• Deep expertise in biomedical image analysis, data science, AI/ML, or related quantitative disciplines, together with experience developing computational workflows for quantitative imaging analysis
• Demonstrated ability to translate complex imaging and biological data into actionable insights that drive decision-making across the R&D value chain. You quickly grasp new scientific challenges, formulate clear problem statements, and deliver impactful solutions
• Proven ability to contribute to high-performing,…