Data Science & AI Innovation Postdoctoral Fellow d42

The Novartis Biomedical Research Postdoctoral Fellowship Program is designed to develop the next generation of scientific leaders, powering the future of medicine, through rigorous research, and immersive learning experiences, such as implementation of AI tools in biomedical research.

Postdoctoral Research Fellows benefit from:

• Guidance from accomplished scientific leaders and subject matter experts
• Access to advanced technologies, platforms, and research capabilities
• Collaboration across disciplines and organizational boundaries
• A global and diverse community of postdoctoral fellows
• Dedicated programming designed to help fellows thrive throughout their careers.
• Personalized experiential learning opportunities through a Postdoc Practicum that empower fellows to explore new scientific domains, build cross-functional expertise, and expand their impact beyond their primary research project.
• Opportunities to present research, publish in leading journals, and build an international scientific network

We are entering a new era of biomedical research breakthroughs through the convergence of biology, technology, and artificial intelligence tools, and fellows are also supported in engaging with these emerging approaches.

This is a full-time training position of up to three years in duration.

Reimagining Medicine Together

At Novartis, our purpose is to reimagine medicine to improve and extend people’s lives. Through this program, you will grow as a scientist and future leader while contributing to discoveries that may ultimately benefit patients worldwide.

Key Responsibilities

• Develop and benchmark machine learning models for treatment effect estimation, patient stratification, and counterfactual outcome prediction from clinical trial data.
• Design and evaluate generative AI models for patient trajectory simulation, synthetic cohort generation, and virtual clinical trial applications.
• Develop methods that generalize treatment effect models across patient populations, disease cohorts, and clinical indications.
• Apply causal inference and explainable AI approaches to identify predictive and mechanistic biomarkers associated with treatment response and adverse events.
• Define and refine ML research strategy and experimental designs to achieve scientific research goals.
• Collaborate with interdisciplinary teams spanning data science, translational medicine, oncology, immunology, and drug development to address high-priority scientific questions.
• Disseminate research through publications, conference attendance and internal seminars and presentations.

Essential Requirements

• PhD (or equivalent doctoral degree) in a relevant scientific discipline completed prior to the fellowship start date. The program is intended for scientists immediately following their PhD training (graduated in 2026)
• Demonstrated record of scientific achievement (publications, presentations, patents, or equivalent)
• Strong commitment to learning, innovation, and professional development
• Strong foundation in ML (deep learning, probabilistic modeling, or similar) and statistics
• Demonstrated experience in deep model development including architecture and training task design.
• Interest in Biology, clinical data and/or drug discovery
• Interdisciplinary communication skills

Desirable Requirements

• Experience in causal ML, representation learning, and generative models
• Experience of working in multidisciplinary teams.
• Experience in developing machine learning models for regulatory applications

Important:

Please submit your CV and cover letter by July 15, 2026 end of day.

In your cover letter, please describe your research interests, career aspirations, and how participation in the Novartis Biomedical Research Postdoctoral Fellowship Program will support your long-term development.

The start date for the 2026 Novartis BR Postdoctoral Fellowship Program cohort is October 1, 2026. Please confirm your availability to start in 2026 in your cover letter.

Please note that we can only accept applicants who are eligible to work in Switzerland

Skills Desired