Postdoctoral Fellow-MSH-76700-134

Mount Sinai; United States; On-site; USD 75,000 - 80,000; Full time

Benefits offered by this job

Housing assistance

Paid time off

Grant and training support

Job summary

Icahn School of Medicine at Mount Sinai in New York, NY seeks a Postdoctoral Fellow in the Environmental Medicine department to advance research at the intersection of environmental health and data science. The role focuses on using AI-enabled methods to study stroke risk related to environmental exposures and requires a PhD with strong R programming and epidemiology/biostatistics background.

The position offers substantial compensation, a tailored benefits package, paid time off, and potential

Qualifications

• PhD in epidemiology or biostatistics or related field required.
• Advanced knowledge of R and strong analytical/computational skills.
• Ability to manage concurrent projects and deliver results on deadlines.
• Ability to work independently as well as in a team and strong organizational skills.

Responsibilities

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

Skills

R programming

Analytical skills

Computational skills

Independent work

Teamwork

Time management

Work ethic

Education

PhD in epidemiology

PhD in biostatistics

Tools

Git

Job description

Position Title: Postdoctoral Fellow

Department: Environmental Medicine

Institution: Icahn School of Medicine at Mount Sinai

Location: New York, NY

Employment Type: Full Time

Start Date: Summer/Fall 2026

About

The Department of Environmental Medicine at the Icahn School of Medicine at Mount Sinai seeks a highly motivated and talented postdoctoral research fellow with interests in environmental health and data science.

The candidate will join a team that leverages AI to phenotype pathway-specific strokes in electronic health records and investigates the effects of multiple environmental and built environment exposures on stroke risk. This position is well-suited for a candidate with a strong background in quantitative analysis and epidemiology seeking experience in the application of AI in environmental health research.

The Department offers opportunities for career advancement, including support for grant applications to fund career independence and the opportunity to attend workshops and both national and international conferences. This position offers a substantial compensation package, a tailored benefits package, and generous paid time off. Postdoctoral fellows are also eligible to apply for subsidized housing in Manhattan.

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

A doctoral degree (e.g., PhD, MD) is required. Additional required qualifications include:

• 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

Preferred Qualifications

• Advanced knowledge of Python
• Experience in the application of Large Language Models (LLM)
• Experience with advanced statistical methods used in environmental health
• Experience analyzing spatial data
• Expertise in tools that promote reproducible research (Git, etc.)
• Good communication and writing skills

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $74,692.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), 822 - Environmental Medicine - ISM, Icahn School of Medicine