Biostatistician (#010985) Chief Legal & Compliance Office, Columbia (RICHLAND)
State of South Carolina
Posted: April 6, 2026 (0 days ago)
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Veterans Health Administration
Department of Veterans Affairs
Location
Saint Louis, Missouri
Salary
Type
Full-Time
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Base salary range: $147,649 - $221,900
Typical requirements: Executive-level leadership experience. Senior executive qualifications required.
Note: Actual salary includes locality pay (15-40%+ depending on location).
This unpaid volunteer role involves working as a research statistician for the Veterans Health Administration, focusing on analyzing health data to improve care for veterans through predictive modeling and statistical analysis.
It supports VA research projects by managing databases, ensuring data accuracy, and applying advanced statistical techniques to study patient outcomes.
Ideal candidates are detail-oriented individuals with a strong background in statistics and a passion for healthcare research, who are willing to contribute without pay.
This position serves as Without Compensation Research Health Science specialist within the Office of Research and Development (ORD).
The VA Research Program strives to promote Veteran-centered care to improve patient experiences and outcomes across VA healthcare and community settings, and to advance value-driven care by providing Veterans the highest quality care at the lowest financial burden.
Please note, there is not pay associated with this position. To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 04/20/2026.
You may qualify based on your experience and education as described below: Experience: You must possess the following general experience: Provide guidance in predictive modeling and analysis of practice data; use statistical and database computer programs to construct and manage datasets and databases relevant to projects; checks validity of data and programs through use of frequencies, listings, summaries, and calculation of meaningful data metrics; conduct univariate and multivariate statistical data analyses; conduct multivariate regression analyses using ordinary least squares, logistic, and survival models; review analytical results for accuracy and completeness; develop and maintain systems and databases designed to ensure that research projects comply with administrative policies, procedures, and requirements; codes and summarizes data.
AND Education: Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc.
Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR Combination: Applicants may also combine education and experience to qualify at this level.
You must have a combination of experience and education that includes courses as shown in A above, plus appropriate experience or additional education.
The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social).
Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.
You will receive credit for all qualifying experience, including volunteer experience. Note: A full year of work is considered to be 35-40 hours of work per week.
Part-time experience will be credited on the basis of time actually spent in appropriate activities.
Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
Physical Requirements: The work primarily is sedentary. Some work may require periods of walking, standing, and bending in offices, laboratories, hospitals, treatment facilities, and other work areas.
Employees frequently carry light items such as books, instruments, and other similar materials. The work does not require any special physical effort.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Major Duties:
Please note this is a without compensation appointment and no pay is associated with this position.
Major Duties: Identify covariates related to clinical factors, background in clinical work and medical statistics, and health care cost analysis Create an analytic file for the study cohort and generates documentation such as flow charts.
Maintain data dictionaries and codebooks defining the independent variable, dependent variable, and covariates.
Validate data and programs through checking of code, descriptive statistics, and graphical displays.
Conduct univariate and multivariate statistical data analyses Conduct multivariate regression analyses using a wide variety of models such as ordinary least squares, logistic, and survival models Review analytical results for accuracy, completeness, and clinical relevance Develop and maintains systems and databases designed to ensure that research projects comply with clinical best practices, administrative policies, procedures and requirements set forth by entities Review and edit abstracts, posters, reports, and publications disseminating research findings.
Work Schedule: Full time; Monday - Friday; 8:00am- 4:30pm Virtual: This is not a virtual position.
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