Senior Research Scientist

NYU Langone Health•New York, NY
•$120,000 - $140,000

About The Position

NYU Grossman School of Medicine is a top-ranked medical school with a long history of shaping medical history through education, research, and patient care. As part of NYU Langone Health, it is committed to improving the human condition and fostering an environment of equity, inclusion, and individual skills. The Department of Population Health (DPH) is a dynamic environment focused on various disciplines including behavioral and social sciences, epidemiology, health services research, evaluation, biostatistics, and medical ethics, with a strong emphasis on health equity. The Health Evaluation and Analytics Lab (HEAL) is seeking a Senior Research Scientist to lead quantitative research on substance use disorder, mental health, and health policy. HEAL conducts policy-relevant research in partnership with various organizations to improve treatment quality, access, and outcomes for vulnerable populations. This role requires a senior investigator with a doctoral degree and experience in applied quantitative research, particularly using large administrative and Medicaid claims data. Expertise in advanced statistics, causal inference, and quasi-experimental methods is highly desired. The successful candidate will contribute to NIH-funded studies, lead analytic teams, collaborate on grant development, and publish peer-reviewed articles.

Requirements

  • PhD and 3 years of experience or equivalent combination of education and experience.
  • Ability to effectively communicate with all levels of the organization.

Nice To Haves

  • Experience in applied quantitative research, particularly using large administrative and Medicaid claims data to evaluate programs, policies, and health system interventions.
  • Demonstrated expertise in advanced statistics, causal inference, and quasi-experimental methods.

Responsibilities

  • Provide scientific leadership for the design and execution of quantitative research projects focused on substance use disorder, mental health, and health policy.
  • Develop and implement rigorous analytic plans using advanced quantitative methods, including advanced statistics, causal inference, and quasi-experimental methods.
  • Supervise and mentor data analysts and research staff working with large administrative, claims, and other secondary datasets.
  • Oversee analytic activities across multiple concurrent studies within a multi-grant research portfolio.
  • Collaborate with faculty investigators and external partners, including government agencies, healthcare providers, and community-based organizations, on study design, interpretation, and dissemination.
  • Lead or contribute substantively to grant proposals, including study design, analytic plans, and preliminary analyses.
  • Lead or co-lead manuscript development for peer-reviewed journals and contribute to reports, presentations, and other dissemination products.
  • Ensure high standards for data management, reproducibility, documentation, and research integrity.

Benefits

  • Financial security benefits
  • Generous time-off program
  • Employee resource groups for peer support
  • Holistic employee wellness program focusing on physical, mental, nutritional, sleep, social, financial, and preventive care.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service