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Statistical Research Programmers, Level 1 work in a multidisciplinary environment in support of research on a wide range of issues spanning health care, education and labor, social and economic wellbeing, national security, and military manpower. Statistical Research Programmers work closely with research staff in creating, managing, and analyzing large and complex data sets. Statistical Research Programmers are expected to acquire a basic understanding of the research topic and a thorough knowledge of the data involved while applying programming and analytic skills.
Statistical Research Programmers, Level 1 are included in a Research Programming Group Early Career Professional Development Program upon beginning employment at RAND. The purpose of this program is to assist early career employees with gaining the knowledge, skills, training, and experience needed to grow within their careers. New hires within this program are paired with a mentor within the Research Programming Group who serves as a professional resource and assists with the acclimation to RAND. Since this program is developmental in nature and each employee’s professional development needs are different, the program is not of a specific duration of time. By the end of this program, Statistical Research Programmers, Level 1 are expected to be able to work under the general supervision of research staff with minimal oversight of a senior mentor, and to be responsible for the development, analysis, and documentation of project programming activities.
- Ability to program using SAS, R, Python, or Stata for data management and analysis
- Exceptional problem-solving abilities with an understanding of statistical methods
- Strong interpersonal and communication skills
- Ability to produce careful and detail-oriented work
- Ability to work in a team environment
- BA/BS in statistics, biostatistics, economics, mathematics, quantitative social sciences, or related field required; MA/MS preferred.
- Two to four years of experience in use of a statistical programming language such as SAS or R for both data management and statistical tasks
- Minimum one to two years’ experience working with health-care claims data from Medicare, Medicaid or private-sector health-care claims such as Marketscan data.
- Prefer experience working with longitudinal surveys
- Experience working in research settings strongly preferred
U.S. Citizenship may be required for positions requiring a U.S. government security clearance.
Santa Monica, CA; Washington, DC; Pittsburgh, PA
Equal Opportunity Employer: race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet