Data Science & AI Innovation Postdoctoral Fellow Immunology

Darum lohnt es sich

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. /p h3Why Join the Program? /h3 pThe 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. /p h3Benefits /h3 ul liGuidance from accomplished scientific leaders and subject matter experts /li liAccess to advanced technologies, platforms, and research capabilities /li liCollaboration across disciplines and organizational boundaries /li liA global and diverse community of postdoctoral fellows /li liDedicated programming designed to help fellows thrive throughout their careers /li liPersonalized 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 /li liOpportunities to present research, publish in leading journals, and build an international scientific network /li /ul h3Key Responsibilities /h3 ul liBuild and harmonize a cross‑disease spatial profiling atlas /li liDevelop best practice workflows for spatial data analysis /li liBenchmark computational methods for tissue niche detection /li liDevelop and apply AI models for spatial profiling data, including foundation models to learn biologically meaningful embeddings and compare tissue structure across diseases /li liWork independently and collaboratively within interdisciplinary teams to drive your project /li /ul h3Essential Requirements /h3 ul liPhD (or equivalent doctoral degree) in a relevant scientific discipline completed prior to the fellowship start date.

Through this program, you will grow as a scientist and future leader while contributing to discoveries that may ultimately benefit patients worldwide. /p /p #J-18808-Ljbffr ph3Summary /h3 pWe 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. /p pLocation: Basel, Switzerland /p pDuration: 3 years /p pProgram start date: October 1, 2026 /p pApplication deadline: July 15, 2026 EOB /p h3About the Role /h3 pAs 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. /p pOur fellows are empowered to ask bold scientific questions, apply cutting‑edge technologies, and develop approaches that have the potential to transform patient care. /p h3Research Opportunity /h3 pYou 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 program is intended for scientists immediately following their PhD training (graduated in 2026) /li liDemonstrated record of scientific achievement (publications, presentations, patents, or equivalent) /li liStrong commitment to learning, innovation, and professional development /li liStrong Python and R coding skills /li liStrong ability to interpret analysis results in a biological context /li liExperience with analyzing spatial/single‑cell profiling and/or imaging data /li liExperience with applying ML and/or AI approaches for spatial/single‑cell data analysis /li /ul h3Desirable Requirements /h3 ul liExperience in developing AI approaches is a plus /li liGood understanding of immunology concepts is a plus /li liExperience with histologic interpretation of normal and diseased tissues is a plus /li /ul h3Eligibility /h3 pPlease note that we can only accept applicants who are eligible to work in Switzerland. /p h3Notes /h3 pReimagining medicine to improve and extend people’s lives.