Data Science & AI Innovation Postdoctoral Fellow Immunology

Summary

We are excited to invite applications for the Novartis Biomedical Research Postdoctoral Fellowship Program, a unique training opportunity designed for exceptional early‑career scientists eager to tackle some of the most challenging problems in biomedical research and drug discovery.

Location:

Basel, Switzerland

Duration: 3 years

Program start date:
October 1, 2026

Final date to receive applications:
July 15, 2026 EOB

As a Postdoctoral Research Fellow, you will join Immunology in Basel and pursue an innovative research project at the forefront of biomedical science and drug discovery. You will work alongside leading scientists in a highly collaborative, multidisciplinary environment while gaining exposure to the broader ecosystem that translates scientific discovery into medicines.

Our fellows are empowered to ask bold scientific questions, apply cutting‑edge technologies, and develop approaches that have the potential to transform patient care.

You will work at the intersection of immunology, AI, and pathology performing advanced spatial analyses of spatial transcriptomics, multiplexed proteomics, and histology data across inflammatory diseases. The goal of the project is to understand how spatially organized immune niches contribute to immune‑mediated inflammatory diseases and how they can inform patient stratification and therapeutic discovery. The project will build a harmonized cross‑disease atlas of spatial profiling data, benchmark and apply computational methods to annotate tissue structures, and develop AI models to characterize tissue niches across multi‑modal spatial data.

The expected outcome is a set of standardized spatial datasets, computational tools, and mechanistic hypotheses that reveal shared and distinct inflammatory tissue architectures across immune‑mediated inflammatory disease and identify new opportunities for biomarker development, target discovery, and therapeutic interventions.

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.

• 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

• Build and harmonize a cross‑disease spatial profiling atlas
• Develop best practice workflows for spatial data analysis
• Benchmark computational methods for tissue niche detection
• Develop and apply AI models for spatial profiling data, including foundation models to learn biologically meaningful embeddings and compare tissue structure across diseases
• Work independently and collaboratively within interdisciplinary teams to drive your project

• 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 Python and R coding skills
• Strong ability to interpret analysis results in a biological context
• Experience with analyzing spatial/single‑cell profiling and/or imaging data
• Experience with applying ML and/or AI approaches for spatial/single‑cell data analysis

• Experience in developing AI approaches is a plus
• Good understanding of immunology concepts is a plus
• Experience with histologic interpretation of normal and diseased tissues is a plus

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

Reimagining 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.