Postdoc: AI-Driven Environmental Health Research

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

Job summary

Mount Sinai Morningside in New York, NY, invites applications for a Postdoctoral Fellow in Environmental Medicine. The role focuses on environmental health and data science, leveraging AI to phenotype stroke pathways in electronic health records and study environmental exposures on stroke risk.

The ideal candidate will have a PhD in epidemiology or biostatistics, strong R skills, and experience with AI methods.

Qualifications

• A doctoral degree (e.g., PhD, MD) is required.
• PhD in epidemiology, biostatistics, or related fields.
• Advanced knowledge and programming skills in R.
• Excellent analytical and computational skills.
• Ability to work on concurrent projects.
• Ability to work independently as well as part of a team.
• Strong organizational and time management skills.
• Strong work ethic and the ability to meet deadlines.

Responsibilities

• Carry out large-scale statistical analyses
• Apply novel statistical approaches
• Collaborate with scientists with different backgrounds
• Write scientific manuscripts

Skills

R programming

Analytical skills

Computational skills

Team collaboration

Time management

Strong work ethic

Education

PhD in epidemiology/biostatistics

Tools

Python

Git

LLMs

Job description

Mount Sinai Morningside in New York, NY, invites applications for a Postdoctoral Fellow in Environmental Medicine. The role focuses on environmental health and data science, leveraging AI to phenotype stroke pathways in electronic health records and study environmental exposures on stroke risk.

The ideal candidate will have a PhD in epidemiology or biostatistics, strong R skills, and experience with AI methods.