Postdoc: Spatial ML for Multi-Omics & Disease Mechanisms

Icahn School of Medicine at Mount S; New York (NY); On-site; USD 52,000 - 72,000; Full time

Job summary

The Icahn School of Medicine at Mount Sinai in New York City invites applications for a postdoctoral fellow to advance computational spatial biology research. The role focuses on developing quantitative, scalable ML/AI tools that integrate spatial multi-omics data with mechanistic tissue models.

The project includes collaboration with leading scientists to uncover mechanisms underlying cancer and neurodegenerative diseases, with opportunities for significant methodological and scientific

Qualifications

• PhD in a quantitative field with strong computational skills.
• Proven ability to analyze genomic data and apply ML methods.
• Experience with statistical programming and data interpretation.

Responsibilities

• Develop scalable ML tools to integrate spatial multi-omics data with mechanistic models.
• Collaborate with scientists to investigate cancer and neurodegenerative disease mechanisms.

Skills

Machine learning

Programming

Genomic data analysis

Analytical thinking

Education

PhD in a quantitative field

Job description

The Icahn School of Medicine at Mount Sinai in New York City invites applications for a postdoctoral fellow to advance computational spatial biology research. The role focuses on developing quantitative, scalable ML/AI tools that integrate spatial multi-omics data with mechanistic tissue models.

The project includes collaboration with leading scientists to uncover mechanisms underlying cancer and neurodegenerative diseases, with opportunities for significant methodological and scientific