<p>To navigate through this form, please use the "Prev" and "Save & Continue" buttons at the top of the page. Do not use your browser's "Back" button as it will not save your progress and data will be lost.</p> <p>Posting Summary</p> <p>Logo Posting Number RTF00057PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral Fellow Campus Columbia Work County Richland College/Division Arnold School of Public Health Department ASPH Health Promotion, Education and Behavior Anticipated Hiring Range Salary commensurate with qualifications Location of Vacancy Part/Full Time Full Time Hours per Week 37.5 Work Schedule</p> <ul> <li>Standard working schedule: 8:30am - 5:00pm with some flexibility as pre-approved by supervisor </li><li>Must be willing to work a flexible schedule to meet the needs of the department. </li></ul> <p>Type of Staff Position Staff Research Grant (SRGP) Basis 12 months Job Search Category Post-doctoral</p> <p>About USC</p> <p>About University of South Carolina</p> <p>From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond.</p> <p>Benefits for Research Grant or Time-Limited Positions Are Indicated Below</p> <p>The University of South Carolina (UofSC), through the State of SC and Public Employee Benefit Authority (PEBA), offers employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding.</p> <p>South Carolina Retirement Yes State Insurance Programs Yes Annual Leave Yes Sick Leave Yes</p> <p>Position Description</p> <p>Advertised Job Summary</p> <p>The South Carolina Department of Health Promotion, Education, and Behavior and SmartState Center for Healthcare Quality (CHQ) at University of South Carolina (USC) Arnold School of Public Health invites applications for two post-doctoral fellow positions to participate in funded HIV and relevant research. These projects involve the utilization of multiple types of Big Data and advanced statistical methods in studying a variety of issues related to HIV and other health conditions, including but not limited to, community resilience, racial/ethnic disparities of HIV care continuum outcomes, transition of pediatric-to-adult HIV care, HIV associated comorbidities, aging, synthetic data generation.</p> <p>Job Related Minimum Required Education and Experience</p> <p>Requires a Doctoral (Ph.D.) degree in area of research specialty.</p> <p>Required Certification, Licensure/Other Credentials Preferred Qualifications</p> <ul> <li>Doctoral (Ph.D.) degree in biostatistics, bioinformatics, or other relevant public health fields </li><li>Experience in analyzing various data, including but not limited to, electronic health records data, public health surveillance data, public health program implementation data, behavioral intervention and data from diverse sources </li><li>Proficiency in statistical and computational languages (SQL, SAAS, R, Python, etc.), skills </li><li>Knowledge of both traditional statistical analysis (e.g., logistic regression, Cox proportional regression model, Poisson regression model) and Big Data analytics (e.g., machine learning, artificial intelligence [AI], text mining, generative AI) </li></ul> <p>Knowledge/Skills/Abilities</p> <p>Ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills.</p> <p>Job Duties</p> <p>Job Duty</p> <p>Design, analyze, and interpret data for scientific research and able to generate readable reports and results. Conduct data curation, data integration, data cleaning and data management of a variety of different datasets (e.g., empirical data, secondary data [electronic health record data, publicly available data.</p> <p>Essential Function Yes Percentage of Time 30 Job Duty</p> <p>Applying rigorous analytic methods to monitor and evaluate the scientific efforts, progress, and outcomes across multiple research projects ensuring the rigor of methodological approaches used, adherence to project timelines, and completeness of documentation.</p> <p>Essential Function Yes Percentage of Time 10 Job Duty</p> <p>Prepare and submit at least 4 publishable high-quality research papers in peer-reviewed journals each year</p> <p>Essential Function Yes Percentage of Time 40 Job Duty</p> <p>Assist the PI and other CHQ faculty on grant writing and development of new research proposals by attending meetings, conducting meetings, and researching future proposals for funding.</p> <p>Essential Function Yes Percentage of Time 10 Job Duty</p> <p>Enhancing the research capacity of participating investigators, especially junior faculty and graduate students, through training and mentoring in advanced data analytics and statistical methodology, fostering high-quality research, and improving scholarly productivity of the research teams.</p> <p>Essential Function Yes Percentage of Time 10</p> <p>Position Attributes</p> <p>Hazardous weather category Non-Essential Employees in Safety-Sensitive or Security-Sensitive positions will be subject to pre-employment and post-employment drug testing in accordance with University policy HR 1.95 Drug and Alcohol Testing. No</p> <p>Posting Detail Information</p> <p>Number of Vacancies 2 Desired Start Date 05/16/2026 Position End Date Job Open Date 04/08/2026 Job Close Date 05/23/2026 Open Until Filled No Special Instructions to Applicant</p> <p>Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.</p> <p>We are only accepting applications submitted by May 23, 2026.</p> <p>Quicklink for Posting https://uscjobs.sc.edu/postings/203989 EEO Statement</p> <p>The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.</p> <p>Supplemental Questions</p> <p>Required fields are indicated with an asterisk (*).</p> <ul> <li> <ul> <li>Do you have at least a Doctoral (Ph.D.) degree in area of research specialty? </li></ul> </li><li>Yes </li><li>No </li></ul> <p>Applicant Documents</p> <p>Required Documents</p> <ul> <li>Cover Letter </li><li>Curriculum Vitae </li><li>List of References and Contact Information </li></ul> <p>Optional Documents</p> <ul> <li>Other Supporting Documents </li></ul>