Disability & Health Policy Statistician – Employee-Owned

Mathematica, Inc.; Chicago (IL); Remote; USD 100,000 - 135,000; Full time

Job summary

Mathematica in Chicago seeks PhD-level health statisticians to join our vibrant team of statisticians and data scientists. We produce crucial evidence for health and social policy by applying advanced quantitative methods and Bayesian approaches to real-world data.

The role involves designing rigorous studies, mentoring junior staff, and contributing to proposals while collaborating with cross-disciplinary teams to inform decision-makers.

Qualifications

• Doctoral degree or master's and equivalent experience in a quantitative discipline; a master's with 5–7 years is acceptable.
• Expertise in causal inference and a range of statistical methods listed.
• Fluency in statistical programming: R, Python, Stan, Julia, SAS, or Stata.
• Strong written and oral communication, able to translate methods for non-technical audiences.

Responsibilities

• Apply a wide range of statistical methods to evaluate and improve social programs and policies by designing rigorous studies, coding data analyses, visualizing results, and interpreting findings.
• Leverage technical expertise to identify and apply innovative approaches addressing complex research and policy questions.
• Draft reports and present statistical findings to policymakers, colleagues, and stakeholders.
• Oversee analyses of junior statisticians and support their professional development.
• Contribute to proposals by developing and writing quantitative methods sections.
• Collaborate with multidisciplinary teams to support research and project objectives.

Skills

Causal inference

Experimental design

Bayesian inference

Survey statistics

Hierarchical modeling

Longitudinal analysis

Nonparametric inference

Performance measurement

Small area estimation

Education

Doctoral degree in quantitative discipline

Master's degree with 5–7 years experience

Tools

R

Python

Stan

Julia

SAS

Stata

Job description

Mathematica in Chicago seeks PhD-level health statisticians to join our vibrant team of statisticians and data scientists. We produce crucial evidence for health and social policy by applying advanced quantitative methods and Bayesian approaches to real-world data.

The role involves designing rigorous studies, mentoring junior staff, and contributing to proposals while collaborating with cross-disciplinary teams to inform decision-makers.