Mathematica, Inc.

Position Title/Short Description

Full Text of JOE Listing:

Mathematica is seeking candidates with expertise in quantitative research methods, causal inference, and policy research to conduct studies and support program evaluation across a range of topics, including TANF, employment, child welfare, early childhood, family strengthening, and economic mobility.

Examples of our work:

-Evaluating programs that focus on topics such as healthy marriage and relationship education and teen pregnancy prevention using randomized controlled trials
-Designing and implementing a nationally representative study of supports for family stability in Head Start
-Conducting systematic evidence reviews of studies that focus on home visiting, teen pregnancy prevention, and employment

Responsibilities:

-Collaborate with staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis for describing or evaluating programs and policies
-Learn and apply new methods, tools, and technologies, including AI-enabled tools, data visualization platforms, and emerging analytic approaches
-Design rigorous mixed-methods evaluations, including primary and secondary data collection
-Apply innovative research approaches and advanced statistical methods to answer policy-relevant questions

Preferred qualifications:
-Ph.D. or equivalent in economics, psychology, sociology, statistics, data science/data analytics, demography, or a related field
-Strong quantitative analytical skills. Training in causal inference methodologies is strongly preferred.