Health Policy Statistician — Evaluation & Disability

Mathematica, Inc.; Ann Arbor (MI); Remote; USD 100,000 - 135,000; Full time

Job summary

Mathematica in Ann Arbor seeks a PhD-level health statistician to join a dynamic team of over 30 statisticians and data scientists. You will develop rigorous studies and translate complex analyses into policy-relevant insights for decision makers.

The role emphasizes methodological leadership, collaboration across multidisciplinary teams, and clear communication with policymakers. You will contribute to proposals, mentor junior analysts, and help advance evidence-based health policy research.

Qualifications

• PhD in statistics, biostatistics, applied mathematics, or related field.
• A master's degree with five to seven years of experience is required if the candidate does not have a Ph.D.
• Expertise in causal inference, experimental design, Bayesian inference, survey statistics, hierarchical/multilevel modeling, longitudinal data analysis, nonparametric inference, performance measurement, and/or small area estimation.
• Fluency in statistical programming languages: R preferred, Python, Stan, Julia, SAS, and/or Stata.
• Excellent written and oral communication skills, including the ability to translate statistical methods and findings for a non-technical audience.

Responsibilities

• Statistical Analysis and Research: Apply a wide range of statistical and quantitative methods to evaluate and improve social programs and policies by designing rigorous studies, coding data analyses, visualizing results, and interpreting findings.
• Methodological Thought Leadership: Leverage technical expertise in statistical methodologies to identify and apply innovative, state-of-the-art approaches that address complex research and policy questions.
• Communication: Draft reports and present statistical findings and insights to policymakers, colleagues, and other stakeholders.
• Mentorship: Oversee the statistical analyses of junior statisticians, provide technical guidance, and support their professional development.
• Business Development: Contribute to proposals for new research projects, particularly by developing and writing quantitative methods sections.
• Teamwork: Collaborate actively and thoughtfully with multidisciplinary teams to support research and project objectives.

Skills

Statistical methods

Causal inference

Bayesian inference

Data analysis

Communication

Education

PhD in a quantitative field

Master's + 5–7 years experience if no PhD

Tools

R

Python

Stan

Julia

SAS

Stata

Job description

Mathematica in Ann Arbor seeks a PhD-level health statistician to join a dynamic team of over 30 statisticians and data scientists. You will develop rigorous studies and translate complex analyses into policy-relevant insights for decision makers.

The role emphasizes methodological leadership, collaboration across multidisciplinary teams, and clear communication with policymakers. You will contribute to proposals, mentor junior analysts, and help advance evidence-based health policy research.