Senior Computational & Applied AI - Scientist

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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.

In Roche’s Research and Early Development organisations, we make transformative medicines for patients to tackle some of the world’s toughest unmet healthcare needs. We are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility, and humility, where our talented people are empowered and inspired to bring forward extraordinary, life-changing innovation at speed.

The Computational Sciences Centre of Excellence (CoE) is a global organisation enabling Roche’s Research and Early Development units (the REDs) to become more data-driven, more digitally adept, and better prepared for the challenges of the future. Within the CoE, Computational Medicine focuses on developing and applying innovative data analysis solutions to support clinical development — furthering our understanding of disease, disease progression, and individual patient response to treatment.

In partnership with our scientists across pRED and gRED, we create better medicines by augmenting every part of R&D through our data-driven culture.

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…