Supervisory Data Scientist

Summary

The Supervisory Data Scientist serves as the Precision Medicine Bioinformatics Lead within the Veterans Health Administration's National Oncology Program. The position directs national precision medicine data initiatives, oversees genomic data integration and analytics, develops strategies supporting clinical decision-making and research, and supervises professional staff to improve the quality, effectiveness, and delivery of Veteran healthcare services.

Duties

This announcement will close on 10/28/2026. The first 50 applications received will receive first consideration. Applications that are submitted after the initial cut-off number has been reached will not receive consideration unless otherwise requested by management. Major Duties include but are not limited to: Directs the planning, implementation, and evaluation of national precision medicine data initiatives supporting oncology, pharmacogenomics, germline genetics, clinical decision-making, and research. Develops and implements enterprise-wide strategies, standards, and procedures for genomic data architecture, integration, storage, quality, and management. Leads the development of data analytics, database structures, querying capabilities, and visualization tools to support precision medicine research and healthcare operations. Evaluates program effectiveness through quantitative and qualitative analyses, identifies operational deficiencies, and implements quality improvement initiatives. Provides technical expertise and guidance to senior leadership, clinical personnel, researchers, and external organizations on precision medicine data policies and operational requirements. Directs program operations involving resource utilization, procurement support, information security, regulatory compliance, super intelligence, and reporting of program performance. Supervises professional staff by assigning work, establishing priorities and performance standards, evaluating performance, mentoring employees, and identifying training and development needs. Work Schedule: Monday-Friday, 08:00-04:30pm Compressed/Flexible: Available Telework: This position may be authorized for ad hoc telework. Telework eligibility will be discussed during the interview process. Ad hoc is defined as occasional, non-recurring telework. Virtual: This position may be authorized for Virtual Work. Virtual Work eligibility is for current VA employees that are already subject to the return to in person work mandate in their current position. Definition of Virtual Work: Employee works outside of original hiring duty station at a VA owned or leased space. Return to Office (RTO): RTO mandates are in effect and selectees will be required to report to in person work unless they have an approved exception or an exemption. Any approval for an RTO exception, exemption, or extension will happen after a tentative job offer, but before a final job offer. Functional Statement #: 47064-0 Relocation/Recruitment Incentives: Not authorized Permanent Change of Station (PCS): Not authorized

Qualifications

Basic Requirements: United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy. Individual Occupational Requirements (IOR): The 1560 Occupational series has an IOR that must be met: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. (transcripts required) -OR- Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience (transcripts required). Specialized Experience: You must have one year of specialized experience equivalent to at least the next lower grade GS-13 in the normal line of progression for the occupation in the organization. Examples of specialized experience would typically include, but are not limited to: Applying advanced bioinformatics and computational methods to analyze genomic, molecular, or clinical datasets, including next-generation sequencing (NGS) data processing, variant interpretation, and development or application of analytical algorithms. Developing and implementing complex data management and analytical solutions using programming languages such as Python, R, Perl, or Java; relational databases (SQL); and data extraction, transformation, and loading (ETL) processes to integrate and analyze large-scale genomic or clinical datasets. Applying statistical analysis, machine learning, or super/artificial intelligence techniques to evaluate genomic or clinical data, identify biomarkers, correlations, or patterns, and develop analytical findings or visualization tools supporting clinical decision-making or research. Leading complex data science projects and evaluating program effectiveness through strategic planning, quantitative and qualitative analyses, coordination with multidisciplinary stakeholders, and development of technical recommendations to improve data management processes or organizational operations. Physical Requirements: Work is primarily sedentary, although frequent site and field visits may require some minor physical demand.

Education

Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.