Postdoctoral Fellow in Spatial Biology

Description
The lab of Dr. Guo-Cheng Yuan in the Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai (ISMMS) in New York City is seeking a highly motivated postdoctoral fellow to conduct computational research in spatial biology.

The postdoc will play a central role in developing quantitative, flexible, and scalable machine learning and AI tools that integrate spatial multi-omics data with mechanistic models across molecular, cellular, and tissue scales. The postdoc will also have the opportunity to make major contributions to understanding the mechanisms underlying cancer and neurodegenerative diseases, through close collaboration with world-class scientists at ISMMS and beyond.

Qualifications

• PhD in a quantitative field
• Strong analytical, machine learning, and programming skills
• Prior experience analyzing genomic data (broadly defined)
• A record of first-author publications, including peer-reviewed papers or preprints
• Ability to work both independently and collaboratively
• Knowledge of spatial biology is desirable but not required. Experimentally trained candidates with strong statistical and programming skills are also encouraged to apply.

To Apply
Please email a cover letter, CV, and contact information for at least two references to Dr. Guo-Cheng Yuan at View email address on nature.com .