Supervisory Management and Program Analyst (Data Science)

About this role

To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 09/25/2026. Time-In-Grade Requirement: Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. For a GS-13 position you must have served 52 weeks at the GS-12. The grade may have been in any occupation, but must have been held in the Federal service.

An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. If the most recent SF-50 has an effective date within the past year, it may not clearly demonstrate you possess one-year time-in-grade, as required by the announcement. In this instance, you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade. Note: Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment.

You may qualify based on your experience as described below: GS-13 grade level: One year of specialized experience (equivalent to the GS-12 grade level in the federal service); experience that equipped the applicant with the particular knowledge, skills and abilities (KSA's) and other characteristics to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled, in the normal line of progression for the occupation in the organization.

Examples of specialized experience would typically include, but are not limited to: determining organizational unit goals and objectives in a constantly changing and developing health care field; independently performing a full range of data analysis, to include collecting, evaluating, and synthesizing of data; preparing briefing documents and making presentations to senior managers; experienced knowledge and use of national database architecture and file structure, analytical techniques, and clinical applications development techniques.