Statistical Analyst

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

The RAND Corporation is seeking master's level statisticians to work on multi-disciplinary research teams across in-demand areas of research. Candidates should be well-organized, self-motivated, analytical thinkers who can adapt to changing work environments across projects. Statistical Analysts typically work closely with Ph.D. statisticians and other specialists to provide a multi-disciplinary approach to research, analysis, and problem solving. Common tasks for this position include data organization, database development, statistical computing and modeling, interpretation and discussion of results with research teams, auditing data quality, creation of publication-ready graphs and tables, documentation of data and analyses, and drafting methods and results sections of peer-reviewed papers and reports. Statistical Analysts’ careers typically progress by building technical and substantive knowledge and problem-solving skills. Many analyses and most database development use SAS; however, many teams use R or Stata.

Qualifications

• Experience carrying out applied statistical analysis, especially in collaboration with Ph.D. researchers
• Expertise in the use of SAS, R, or Stata
• Proven ability to work on multiple projects and balance time-sensitive deliverables
• Excellent oral and written communication skills
• Ability and willingness to work with a multi-disciplinary team
• Strong commitment to RAND’s core values of quality and objectivity

Education Requirements

• MA/MS in statistics or biostatistics is required.

Experience

• Two or more years of post-Master's degree work experience is preferred.
• Writing Sample Required
• A writing sample is required for this position.

Location

• Santa Monica, CA; Pittsburgh, PA; Boston, MA; Washington, DC

Equal Opportunity Employer: race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet