Postdoctoral Fellow-MSH-76880-041

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

Description

Job Description

Job Title: Postdoctoral Fellow –Quantitative Analysis & Systems Science

Department: Population Health Science & Policy, Icahn School of Medicine at Mount Sinai

Position Summary/Overview

The Department of Population Health Science and Policy at the Icahn School of Medicine at Mount Sinai is seeking a full-time Postdoctoral Fellow to work with Dr. Katharine McCarthy on the NIH-funded ASPIRE (Adolescent School Policy Interventions for caRdiovascular Equity) study. The project examines how school environments and policies shape adolescent cardiovascular health and future maternal health outcomes.

Working with Dr. McCarthy and a multidisciplinary team—including systems science investigators, epidemiologists, qualitative researchers, community stakeholders, and collaborators at the New York City Office of School Health—the fellow will conduct longitudinal analyses of school environmental features, adolescent cardiovascular health trajectories, and later maternal health outcomes. The fellow will integrate these findings with published evidence and participatory group model-building results to develop, implement, calibrate, validate, and apply empirically grounded agent-based models. These models will estimate the long-term population health and health equity effects of school-based interventions and help identify strategies to improve cardiovascular health across the life course.

This position offers opportunities for manuscript publication, conference presentations, interdisciplinary collaboration, and mentorship in systems science, adolescent cardiovascular health, maternal health, implementation science.

Responsibilities

The ideal candidate will be: 1) highly motivated and intellectually curious; 2) experienced in computational or simulation modeling; 3) an effective scientific communicator; 4) organized and detail-oriented; 5) able to work independently while collaborating within a multidisciplinary team; and 6) committed to reproducible, policy-relevant population health research.

Essential Duties And Responsibilities

• Develop and implement agent-based models of adolescent cardiovascular health trajectories and later maternal health outcomes using NetLogo or a comparable simulation platform.
• Translate findings from longitudinal epidemiologic analyses, qualitative research, participatory group model building, and the scientific literature into model structure, assumptions, decision rules, and policy scenarios.
• Simulate intervention and counterfactual scenarios to estimate the effects of school-based policies on adolescent cardiovascular health, maternal morbidity, and racial/ethnic disparities.
• Conduct model calibration, verification, validation, uncertainty analysis, and sensitivity analysis.
• Document model assumptions, structure, and implementation using established reporting frameworks such as ODD and TRACE and relevant ISPOR/SMDM guidance.
• Develop reproducible workflows, maintain well-documented code, and use version control platforms such as GitHub.
• Contribute to collaborative manuscripts, abstracts, conference presentations, and policy-facing products.
• Participate in meetings with investigators, advisory board members, adolescents, school stakeholders, and community partners to refine model assumptions and interpret results.

Qualifications

• Doctoral degree in Systems Science, Computational Social Science, Epidemiology, Public Health, Biostatistics, Statistics, Applied Mathematics, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Demonstrated experience developing agent-based models, microsimulation models, system dynamics models, or other complex simulation models.
• Strong programming skills in NetLogo and/or another relevant language or platform, such as R or Python.
• Strong quantitative, analytic, scientific writing, and oral communication skills.
• Ability to work proactively and independently while contributing effectively to a multidisciplinary research team.
• Interest in adolescent health, cardiovascular disease prevention, maternal and child health, school policy, implementation science, or health equity.

Preferred Experience

• Experience working with longitudinal, multilevel, administrative, electronic health record, or other large population-based datasets.
• Familiarity with causal inference, multilevel modeling, life-course epidemiology, or health policy evaluation.
• Experience integrating qualitative or stakeholder-engaged findings into computational models.
• Peer-reviewed publication record demonstrating independent scientific productivity.
• Experience with collaborative software development, code review, and open or reproducible science practices.

Education And Experience

PhD, ScD, DrPH, or equivalent doctoral degree in a relevant quantitative or population health discipline. Candidates who are completing their doctoral degree may be considered if all degree requirements will be completed before the start date.

Work Environment

This position operates in a professional academic research environment and requires routine use of computers, statistical and simulation software, videoconferencing platforms, and standard office equipment. The role may include hybrid work arrangements consistent with institutional and departmental policies, as well as occasional in‑person meetings with research and community partners.

Employer Description

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well‑being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About The Mount Sinai Health System

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health‑care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high‑quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint‑venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningsides in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

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 $72500 - $80000 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.