Postdoctoral Fellow - Spatial AI for Multi-Omics

Mount Sinai Health System; New York (NY); On-site; USD 73,000 - 80,000; Full time

Job summary

The Mount Sinai Health System’s Icahn School of Medicine at Mount Sinai in New York invites applications for a postdoctoral fellow to advance computational biology in spatial biology. You will develop machine learning approaches and software for multi-scale spatial omics analyses and contribute to cancer, hematological, and neurological disease research.

The role offers collaboration across a leading, international research environment with access to diverse experts and clinical partners, and

Qualifications

• PhD in a quantitative field with strong analytical capabilities.
• Experience applying machine learning approaches to biological data.
• Proven productivity with first-author peer-reviewed publications.

Responsibilities

• Conduct computational biology research in spatial biology.
• Develop ML methods and software for multi-scale spatial omics analyses.
• Collaborate with internal and external teams on clinical and translational projects.

Skills

Analytical skills

Machine learning

Programming

Education

PhD in quantitative field

Tools

Giotto

ONTraC

spatialDWLS

Job description

The Mount Sinai Health System’s Icahn School of Medicine at Mount Sinai in New York invites applications for a postdoctoral fellow to advance computational biology in spatial biology. You will develop machine learning approaches and software for multi-scale spatial omics analyses and contribute to cancer, hematological, and neurological disease research.

The role offers collaboration across a leading, international research environment with access to diverse experts and clinical partners, and