Health Policy Statistician (PhD) for Impact & Methods

Mathematica, Inc.; Princeton (NJ); Remote; USD 100,000 - 135,000; Full time

Job summary

Mathematica, Inc. seeks PhD-level health statisticians to join a team of over 30 statisticians and data scientists working on public-wellbeing policy research.

Lead rigorous studies for health and social programs, applying causal inference, Bayesian methods, and multilevel modeling, and communicate findings to policymakers and stakeholders. Collaboration across disciplines is essential and mentorship of junior staff is expected.

Qualifications

• Doctoral degree or master's with quantitative discipline experience.
• Expertise in causal inference, Bayesian methods, and related analyses.
• Strong ability to translate methods for policymakers and non-technical audiences.

Responsibilities

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

Skills

Causal inference

Bayesian methods

Hierarchical modeling

Longitudinal analysis

R programming

Python

SAS

Stata

Education

PhD or MS in quantitative field

Tools

R

Python

Stan

Julia

SAS

Stata

Job description

Mathematica, Inc. seeks PhD-level health statisticians to join a team of over 30 statisticians and data scientists working on public-wellbeing policy research.

Lead rigorous studies for health and social programs, applying causal inference, Bayesian methods, and multilevel modeling, and communicate findings to policymakers and stakeholders. Collaboration across disciplines is essential and mentorship of junior staff is expected.