Postdoctoral Fellow, Quantitative Health Modeling

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

Job summary

Mount Sinai Health System invites applications for a full-time Postdoctoral Fellow in Quantitative Analysis & Systems Science. The role focuses on the NIH-funded ASPIRE study, examining how school environments shape adolescent cardiovascular health and later maternal outcomes.

You will work with a multidisciplinary team to develop agent-based models, calibrate analyses, and contribute to manuscripts and policy-focused products.

Qualifications

• PhD in a quantitative field related to population health or systems science.
• Experience developing agent-based, microsimulation, or system-dynamics models.
• Strong programming skills in NetLogo and/or R/Python.

Responsibilities

• Develop and implement agent-based models of adolescent cardiovascular health trajectories and later maternal health outcomes.
• Translate findings from analyses and literature into model structure, assumptions, and policy scenarios.
• Simulate intervention and counterfactual scenarios to estimate effects of school-based policies on health disparities.
• Calibrate, verify, validate, and perform uncertainty analyses.
• Document model assumptions and code with reproducible workflows and version control.

Skills

Agent-based models

NetLogo

R

Python

Quantitative analysis

Scientific writing

Oral communication

Education

PhD, ScD, DrPH or equivalent

Tools

GitHub

Job description

Mount Sinai Health System invites applications for a full-time Postdoctoral Fellow in Quantitative Analysis & Systems Science. The role focuses on the NIH-funded ASPIRE study, examining how school environments shape adolescent cardiovascular health and later maternal outcomes.

You will work with a multidisciplinary team to develop agent-based models, calibrate analyses, and contribute to manuscripts and policy-focused products.