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Senior Data Scientist - Medicaid Policy Impact InitiativeWeill Cornell Medical College • United States
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Senior Data Scientist - Medicaid Policy Impact Initiative

Weill Cornell Medical College
  • US
    United States
  • US
    United States
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Über

Title: Senior Data Scientist - Medicaid Policy Impact Initiative
Location: Midtown
Org Unit: Health Policy and Economics
Work Days:
Weekly Hours: 35.00
Exemption Status: Exempt
Salary Range: $127,500.00 - $143,000.00
*As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices
Position Summary
The Medicaid Policy Impact Initiative at Cornell is seeking a Senior Data Scientist with deep experience working with health care claims data to help drive high-impact, policy-relevant research that improves the Medicaid program and strengthens the health care safety net in the United States.
This is a high-ownership, hands-on role with the opportunity to shape how large-scale Medicaid data are translated into actionable evidence for policymakers. The Senior Data Scientist will build analytic datasets from raw claims, develop and validate rigorous measures, and generate insights that directly inform state and federal decision-making. In particular, the person in this role will contribute to a public-facing Medicaid Atlas tool that will track variation in Medicaid utilization and spending to support evidence-based policymaking, promote accountability, and catalyze research to improve efficiency in Medicaid.
Job Responsibilities
Develop algorithms to construct utilization, spending, and quality measures from raw claims data (e.g., the T-MSIS Analytic Files)
Conduct descriptive and causal analyses to inform Medicaid policy
Design and maintain scalable workflows for processing national Medicaid claims data
Improve data quality, documentation, and reproducibility
Validate measures against external benchmarks (CMS, KFF, state reports)
Independently manage analytic projects from concept to output
Contribute to academic papers, policy briefs, and public-facing products
Education
Master’s or PhD in health economics, public policy, biostatistics, data science, or a related quantitative field preferred.
Experience
3+ years of experience working with health care claims data (Medicaid strongly preferred).
Strong programming skills (Stata, R, Python, or SAS).
Experience independently executing analytic projects.
Experience developing and maintaining scalable infrastructure for research with big data
This role requires several years of direct experience working with large-scale claims data (e.g., Medicaid or Medicare). Candidates without hands-on claims data experience are unlikely to be a good fit.
Knowledge, Skills and Abilities
Strong analytical and problem-solving skills.
Ability to manage large, complex datasets.
Strong communication skills.
Ability to work independently and lead projects.
Commitment to reproducibility and high-quality research.
Licenses and Certifications
Working Conditions/Physical Demands
Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “any person, any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
  • United States

Sprachkenntnisse

  • English
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