AI Innovation Postdoctoral Fellow in Digital Pathology
Salary Range
Research Opportunity
Why Join the Program?
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.
- 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
Key Responsibilities
- Develop and apply AI approaches to extract insights from digital pathology imaging datasets (e.g., H&E, IHC, mIF, Spatial transcriptomics).
- Work with foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal models to advance generative AI applications in drug discovery.
- Collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.
- Contribute to scientific publications and present results at internal and external scientific conferences.
Essential Requirements
- PhD (or equivalent doctoral degree) in а 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
- Experience analyzing imaging data (e.g. H&E, IHC, multiplex IF, spatial transcriptomics).
- Experience in one or more of the following areas: generative AI, digital pathology foundation models, geometric deep learning and / or multi-modal learning.
- Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.
Desirable Requirements
- Prior experience with analysing multi-modal data, including digital pathology.
Important
Not included in the source posting: about the role.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.