Post Doctoral Fellow-MSH-32015-001

The Center for Child Health Services Research (CCHSR), Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, is seeking a full-time Postdoctoral Fellow to work with Brett Anderson, MD, MBA, Director of CCHSR and Associate Professor of Pediatrics and Population Health Science and Policy. The fellow will conduct NIH-funded health services and outcomes research focused on healthcare utilization, insurance coverage, healthcare expenditures, and long-term outcomes among pediatric and adult populations with complex medical conditions. 

Working with Dr. Anderson and a multidisciplinary team of clinicians, epidemiologists, health economists, statisticians, and policy researchers, the fellow will conduct longitudinal analyses of healthcare utilization patterns and evaluate the impact of policies on access to care and clinical outcomes. The fellow will contribute to the development and validation of administrative claims-based methodologies and generate policy-relevant evidence that can improve healthcare delivery and health outcomes. This position offers opportunities for peer-reviewed publications, national conference presentations, interdisciplinary collaboration, grant development, and advanced mentorship in health services research, outcomes research, healthcare policy evaluation, administrative claims analysis, and causal inference methods.

1. Interested in health services research, healthcare policy, and cardiovascular outcomes research.

2. An effective scientific communicator.

3. Organized and detail oriented.

4. Able to work independently while collaborating within a multidisciplinary research team.

5. Committed to rigorous, reproducible, and policy-relevant research.

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  Conduct analyses of large administrative claims and clinical registry.

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  Develop and validate administrative claims-based methodologies for identifying clinical populations and evaluating healthcare outcomes.

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  Perform longitudinal analyses of healthcare utilization, expenditures, insurance coverage, and patient outcomes.

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  Apply epidemiologic, biostatistical, econometric, and causal inference methods to evaluate healthcare policy impacts.

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  Analyze linked Medicaid, commercial insurance, and registry datasets

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  Develop reproducible analytic workflows and maintain well-documented programming code.

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  Conduct literature reviews and synthesize findings from published scientific literature.

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  Contribute to collaborative manuscripts, scientific abstracts, conference presentations, and policy-facing products.

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  Participate in meetings with investigators and collaborators across research networks.

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  Assist with preparation of grant reports, progress reports, and future funding applications.

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  Ensure compliance with NIH, HIPAA, IRB, and institutional research policies.

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  Maintain data security and adherence to all applicable data use agreements.

• Doctoral degree in Medicine, Public Health, Epidemiology, Health Services Research, Population Health, Biostatistics, Health Policy, or a related discipline.

• Strong quantitative, analytic, scientific writing, and oral communication skills.

• Ability to work proactively and independently while contributing effectively to a multidisciplinary team.

• Interest in healthcare policy, healthcare utilization, population health, outcomes research, and health services research.

• Experience working with administrative claims databases, clinical registries, electronic health record data, or other population-based datasets.

• Familiarity with epidemiologic methods, causal inference, health policy evaluation, or outcomes research.

• Experience conducting healthcare utilization, policy, or outcomes research.

• Knowledge of health services research methodologies and population health analytics.

MD, DO, PhD, MD/PhD, DrPH, ScD, or equivalent doctoral degree in a relevant clinical, quantitative, population health, or healthcare research discipline. Candidates completing residency training and pursuing advanced research training are encouraged to apply.

This position operates in a professional academic research environment and requires routine use of computers, statistical software, data management platforms, videoconferencing platforms, and standard office equipment. The role includes participation in collaborative meetings with investigators and stakeholders across multiple institutions.