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Mike Chien-Cheng Shih

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2 weeks ago

Postdoctoral Fellow in Vision Foundation Models for Cellular Imaging at Novartis Novartis in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 31, 2026

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Country

United States

University

Novartis

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Biology
Microscopy
Computer Vision
Medical Science
Cell Imaging
Statistics
Machine learning

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About this position

Novartis Biomedical Research is hiring a Postdoctoral Fellow in vision foundation models for cellular imaging. This is an onsite position in San Diego, California, focused on developing foundation models for high-content microscopy and cellular imaging to support phenotypic drug discovery.

The fellow will work with large-scale microscopy data, including access to internal curated proprietary datasets, and will build a benchmarking strategy to evaluate model performance. The research will apply modern computer vision and machine learning methods to real drug-discovery problems, with an expectation to publish and present results in leading scientific venues.

This opportunity is best suited to candidates with a strong background or interest in computer science, biomedical imaging, biomedical engineering, biology, and quantitative evaluation. The post specifically seeks a motivated scientist who is earning a Ph.D. in 2026 and wants to work at the interface of machine learning and biology in a highly collaborative team.

Funding and duration: full-time training position, up to three years. No stipend amount is listed in the post.

Timeline: start date is October 1, 2026; application deadline is July 31, 2026.

How to apply: use the application/details link provided in the post and review the full job description for qualifications before applying.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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