Senior Postdoc: Computational Genomics & AI Leadership

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

Job summary

Mount Sinai Health System seeks a Senior Postdoctoral Fellow to provide scientific and operational leadership for a cross-program computational biology unit in the Palacios Laboratory at Icahn School of Medicine. The fellow will supervise bioinformaticians, set standards, and collaborate across virology, genomics, and immunology programs.

The role emphasizes agentic-AI research, integrating genomics, multi-omics, and predictive modeling to uncover virus-host mechanisms.

Qualifications

• Ph.D. or equivalent degree in computational biology, bioinformatics, machine learning, quantitative biology, computer science, biomedical engineering, virology/genomics, or a related discipline.
• Advanced Python and working R proficiency, strong software-engineering practices, and the ability to review production-quality analytical code.
• Experience leading projects and mentoring or supervising computational scientists, analysts, trainees, or software contributors.

Responsibilities

• Lead Computational Unit Leadership and Program Support, mentoring master's-level bioinformaticians.
• Partner with investigators to translate biological questions into feasible computational work plans.
• Review code and methods, ensuring reproducible analyses and defensible conclusions.
• Architect agentic-AI systems and integrative computational biology approaches for viral genomics and host-pathogen studies.

Skills

Python

R

Linux/Unix

Cloud computing

Education

Ph.D. or equivalent in computational biology

Job description

Mount Sinai Health System seeks a Senior Postdoctoral Fellow to provide scientific and operational leadership for a cross-program computational biology unit in the Palacios Laboratory at Icahn School of Medicine. The fellow will supervise bioinformaticians, set standards, and collaborate across virology, genomics, and immunology programs.

The role emphasizes agentic-AI research, integrating genomics, multi-omics, and predictive modeling to uncover virus-host mechanisms.