Senior Level Research Statistician

About this role

Applicants must meet all eligibility and qualification requirements upon the closing date of this announcement. Candidates must demonstrate at least one year of specialized experience related to the position that is comparable in technical breadth, scope, and complexity to the GS-15 level. Applicants are not required to currently hold, or have previously held, a GS-15 position; however, their resume must clearly demonstrate experience at a comparable level.

To meet the minimum qualification requirements for this position, you must show that you possess the Mandatory Technical Qualifications (MTQ) related to this position within your resume - NOT TO EXCEED 2 PAGES. Resumes must use a font size no smaller than 10-point, and margins no smaller than one inch. Resumes over the 2-page limit, will not be reviewed beyond page 2 or may be disqualified. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s).

If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position. There is NO requirement to prepare a narrative statement specifically addressing the Mandatory Technical Qualifications (MTQs). TECHNICAL QUALIFICATIONS (TQs): Your resume should demonstrate accomplishments that would satisfy the technical qualifications. MTQ 1: Demonstrated mastery of behavioral science principles and the application of survey methodology to initiate, plan, and guide research and evaluation projects aimed at improving existing survey and administrative data programs.

This includes experience serving as a lead researcher, leading empirical research and synthesizing findings, developing research protocols, evaluating survey collection instruments and procedures, mentoring new and junior researchers, presenting complex and technical findings to technical audiences, and advising senior executives on advanced research topics. MTQ 2: Demonstrated ability to make fundamental research contributions that measurably improved data quality, improved data collection efficiency or response, reduced burden, or improved the respondent/user experience.