Survey Sampling Statistician

Mathmatica Policy Research Cambridge, MA
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 statisticians 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.


* Design and execute sampling and weighting plans for various probability and non-probability surveys

* Apply a wide array of statistical methods and analytic techniques in support of survey research

* Prepare technical reports and presentation of statistical methods

* Present findings to policy, methodological, and researcher audiences and publish in professional journals

* Bring creative ideas to business development and actively participate in submitting proposals and obtaining new projects

Position Requirements

* Ph.D. in statistics, biostatistics, or quantitative social science - or and equivalent combination of education and experience. A minimum of a MS in statistics, biostatistics, or quantitative social science and five to seven years of experience is required if the candidate does not have a Ph.D.

* Coursework and/or experience is essential in the following 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.

* Preferred background of interest in social policy research and a focus on health policy research.

* Preferred coursework and/or experience in multivariate and descriptive analytical methods including the use of linear and logistics regression analyses, hierarchical modeling, and familiarity with Bayesian statistical methods.

* Preferred coursework and/or experience in experimental designs including randomized control trials, quasi experimental studies, propensity score matching and weighting, data linkage and data harmonization.

* Excellent written and oral communication skills, including and ability to translate research findings for a policy audience a

* Ability to work well in teams

* Required knowledge, experience and demonstrated ability to conduct statistical programming in SAS, R, or Stata

To apply, please submit a cover letter, resume writing sample, transcript, contact information for three references, and coding sample as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance.

Available locations: Cambridge, MA; Princeton, NJ; Washington, DC; Chicago, IL

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.