Health Policy Statistician — Data-Driven Policy Evaluation

Mathematica; Ann Arbor (MI); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Employee stock ownership (ESOP)

Competitive benefits

Job summary

Mathematica is seeking PhD-level health statisticians to join a vibrant team of over 30 statisticians and data scientists. You will contribute to producing crucial evidence for policy and decision-makers, advancing methods for identifying treatment effect heterogeneity and presenting school choice information to diverse audiences.

The role emphasizes rigorous study design, advanced analytics, and clear communication to policymakers. Competitive base salary ranges reflect expertise and impact.

Qualifications

• Doctoral degree or master’s and equivalent experience in a quantitative discipline.
• Expertise in statistical/quantitative methods including causal inference, Bayesian inference, survey statistics, multilevel modeling, longitudinal analysis, and small area estimation.
• Fluency in statistical programming languages: R, Python, Stan, Julia, SAS, and/or Stata.
• Excellent written and oral communication for non-technical audiences.

Responsibilities

• Apply a wide range of statistical methods to evaluate and improve social programs and policies.
• Lead methodological thought leadership to address complex research questions.
• Draft reports and present findings to policymakers and stakeholders.
• Oversee analyses of junior statisticians and provide technical guidance.
• Contribute to research proposals by developing quantitative methods sections.
• Collaborate with multidisciplinary teams to support research objectives.

Skills

R

Python

Stan

Julia

SAS

Stata

Education

PhD in statistics/biostatistics/applied mathematics or related field

Master’s degree with 5–7 years of quantitative experience

Job description

Mathematica is seeking PhD-level health statisticians to join a vibrant team of over 30 statisticians and data scientists. You will contribute to producing crucial evidence for policy and decision-makers, advancing methods for identifying treatment effect heterogeneity and presenting school choice information to diverse audiences.

The role emphasizes rigorous study design, advanced analytics, and clear communication to policymakers. Competitive base salary ranges reflect expertise and impact.