Postdoc: Spatial Genomics & AI Research

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

Job summary

Mount Sinai Morningside seeks a highly motivated postdoctoral fellow to conduct computational biology research in spatial biology within the Department of Genetics and Genomic Sciences at Icahn School of Medicine at Mount Sinai (ISMMS). The role centers on developing machine learning and software for multi-scale spatial omic data analyses and applications in human diseases.

The candidate should have a PhD in a quantitative field, strong ML and programming skills, and experience with spatial

Qualifications

• PhD in a quantitative field.
• Strong analytical, machine learning, and programming skills.
• Experience analyzing spatial transcriptomics data.
• Productivity demonstrated by first-author peer‑reviewed publications.
• Able to work independently and collaboratively.

Responsibilities

• Develop innovative ML/AI methods and software for multi-scale, multi-modality spatial omic data analyses.
• Collaborate with ISMMS researchers in basic and clinical projects.
• Advance tools for spatial transcriptomics analysis and data integration.
• Contribute to human disease applications using spatial omics data.

Skills

Machine learning

Programming

Analytical thinking

Collaborative work

Education

PhD in a quantitative field

Tools

Giotto

ONTRAC

spatialDWLS

Job description

Mount Sinai Morningside seeks a highly motivated postdoctoral fellow to conduct computational biology research in spatial biology within the Department of Genetics and Genomic Sciences at Icahn School of Medicine at Mount Sinai (ISMMS). The role centers on developing machine learning and software for multi-scale spatial omic data analyses and applications in human diseases.

The candidate should have a PhD in a quantitative field, strong ML and programming skills, and experience with spatial