Medicaid Policy Fellow & Data-Driven Leader

Mathematica

Ann Arbor (MI)

Vor Ort

USD 190.000 - 240.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Employee ownership (ESOP)

Zusammenfassung

Mathematica seeks a senior fellow to lead research and policy work on Medicaid/CHIP at the state or federal level. The role directs engagements for CMS-related entities and supports quality assurance, mentorship, and knowledge sharing in a dynamic national practice.

Responsibilities include guiding analytic teams, developing policy recommendations, and representing Mathematica externally. A strong background in health policy and data analytics is essential.

Qualifikationen

  • Masters or doctoral degree with substantial experience in Medicaid/CHIP policy.
  • Extensive background in health policy research and program evaluation.
  • Strong written and oral communication for diverse stakeholders.

Aufgaben

  • Direct research and technical assistance on Medicaid/CHIP policy and data systems.
  • Lead proposals, manage multidisciplinary teams, and ensure high-quality delivery.
  • Apply rigorous analysis to quantitative and qualitative data.
  • Represent Mathematica at conferences and expert panels as needed.
  • Mentor staff and contribute to institutional knowledge in Medicaid/CHIP.

Kenntnisse

Policy analysis
Healthcare policy
Quantitative methods
Qualitative methods
Project leadership
Communication skills

Ausbildung

Masters or PhD in public policy, economics, public health, or related field

Tools

SQL
SAS
Stata
R
Excel

Jobbeschreibung

Mathematica seeks a senior fellow to lead research and policy work on Medicaid/CHIP at the state or federal level. The role directs engagements for CMS-related entities and supports quality assurance, mentorship, and knowledge sharing in a dynamic national practice.

Responsibilities include guiding analytic teams, developing policy recommendations, and representing Mathematica externally. A strong background in health policy and data analytics is essential.

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