Mathematica is a nationally recognized research organization that conducts social policy studies on health care, disability, education, welfare, nutrition, and related topics. Our mission is to improve public well-being by bringing the highest standards of quality, objectivity, and excellence to bear on the work we do for our clients, which include federal, state, and local government agencies, as well as private foundations.
Mathematica is seeking statistical analysts who are eager to use their statistical expertise to support our mission to improve public well-being by bringing the highest standards of quality, objectivity, and excellence to bear on the provision of information collection and analysis to our clients. In particular, this position involves providing programming, research, and project management support to survey sampling and statistical research projects.
- Write programs in SAS to select samples, calculate weights, and impute missing data
- Perform data analyses using SAS, Stata, R, SUDAAN, or other statistical software packages
- Produce descriptive statistics and tables
- Prepare tables and graphs based on analyses
- Compile, track, and analyze data and prepare reports
- Assist with writing reports and memos
- Perform literature searches, review, and abstract articles
- Assist with any other project activities as needed
- Master’s degree in a quantitative discipline such as: statistics, biostatistics, mathematics, survey methodology, economics, data analytics, or other quantitative social science - or an equivalent combination of education and experience. A minimum of a Bachelor’s degree in one of these quantitative disciplines and four years of relevant experience is required.
- Background or interest in social policy research and a focus on health policy research.
- Excellent written and oral communication skills, including and ability to translate research findings for a policy audience
- Ability to collaborate and work well in teams
- Strong organizational skills with demonstrated ability to work efficiently, accurately, and independently
- Required knowledge, experience and demonstrated ability to conduct statistical programming in SAS, R, or Stata
Preferred coursework and/or experience in one or more of the following quantitative research areas:
- Survey sample design, weighting, variance estimation for complex sample survey data, imputation, survey design methodology (especially on survey paradata, total survey error, and adaptive survey design), or data disclosure avoidance.
- Multivariate and descriptive analytical methods including the use of linear and logistics regression analyses, hierarchical modeling, and familiarity with Bayesian statistical methods.
- Experimental designs including randomized control trials, quasi experimental studies, propensity score matching and weighting, data linkage and data harmonization.
- Data mining, predictive modeling, natural language processing, data visualization
- Experience with Python is desirable but not required.
Job ID 837-2