Innovation Postdoctoral Fellow, Data Science & AI Vision Foundation Models Cellular Imaging

Job Description Summary

The Novartis Biomedical Research Postdoctoral Fellowship Program offers a unique training opportunity for exceptional early-career scientists eager to advance AI-powered phenotypic drug discovery. As a Postdoctoral Research Fellow, you will join the Discovery Sciences (DSc) group in San Diego to develop foundation models for high-content cellular imaging, working alongside leading scientists in a highly collaborative, multidisciplinary environment while gaining exposure to the broader ecosystem that translates scientific discovery into medicines.

This is a full-time training position of up to three years, starting October 1, 2026.

Internal

Job Title:

Innovation Postdoctoral Fellow

Position Location: San Diego, CA, USA (Onsite)

* Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.

* This position is not eligible for visa sponsorship. Please only apply if you are currently authorized to work in the US for the 3 year duration of the program.

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

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.

As a Postdoctoral Research Fellow, you will join the Discovery Sciences Data Science (DSc DS) group in Basel, Cambridge, or San Diego 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.

This fellowship aims to advance representation learning for high-content cellular imaging to accelerate AI-powered phenotypic drug discovery across Novartis. The project will develop, benchmark, and deploy foundation models that generalize across assays, perturbations, cell types, and imaging modalities.

You will curate large-scale microscopy datasets, pretrain and adapt vision foundation models, and design rigorous evaluation protocols to assess model performance, robustness, and generalization on public and proprietary datasets. You will work closely with cross‑functional scientists and engineers to apply these models to answer key scientific questions in the drug discovery pipeline. You will be connected to a large network of data scientists and postdoctoral researchers across the organization.

The project will deliver a unified platform for training, benchmarking, and deploying foundation models for high-content cellular imaging. The platform will support critical downstream applications and raise the accuracy, scalability, and reproducibility of phenotypic analysis across Novartis. Methods and results will be published in leading machine learning and biomedical venues.

The Novartis Biomedical Research Postdoctoral Fellowship Program is designed to develop the next generation of scientific leaders and power the future of medicine through rigorous research, and immersive learning experiences, including the 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.

• Opportunitie…