Postdoctoral Fellow: Environmental Health Data Science & AI

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

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