Job Responsibilities

MCH Health Care Data Analyst

Department: COSW Institute for Families in Society

Part/Full Time: Full Time

Advertised Salary Range:

About UofSC

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.

Advertised Job Summary

The Research Associate/MCH Health Care Data Analyst works independently under Principal Investigator to provide high-level professional healthcare claims analytics work related to Medicaid and conducts quantitative analyses that support health care projects and research activities focused on Maternal and Child Health (MCH ) populations. Extensively utilizes database technologies to acquire, transform, and standardize data to power dashboards and reports. Gathers, analyzes, and compiles healthcare and provider data to develop and evaluate MCH programs and policies. Works collaboratively as a part of our expert interdisciplinary team, including researchers, policy analysts, biostatisticians, data scientists, and data visualization specialists to address the analytic needs and strategic priorities of IHPR and develop reports leading to policy recommendations. Conducts research, evaluation, and policy analysis to improve MCH outcomes and strengthen health care and delivery systems serving women, infants, children, and families. The Institute is devoted to transforming health systems through actionable cross-disciplinary and collaborative research. Position is located in Columbia, SC, and is not a remote position.

Required Education and Experience

Preferred Qualifications

• Experience/training in health services research.
• At least 4 years of experience with the analysis of claims/encounter data.
• Strongly prefer an understanding of Medicaid, Medicare, and/or private healthcare claims data systems.
• Understanding of and/or experience with analysis of electronic health record data, including data elements used in MCH contexts.
• Strong proficiency in SAS , SQL , R, and Python.

Knowledge/Skills/Abilities

• Strong analytical thinking and attention to detail.
• Experience with large relational database administration.
• Demonstrated experience in data management and analysis with administrative data, including health or behavioral healthcare claims such as Medicaid, Medicare, private insurance data, or state agency and national datasets; experience with relevant MCH populations preferred.
• Proficiency in SAS , SQL , and other statistical analytical software programs (e.g., R, Python).
• Demonstrated ability to use analytical and visualization tools such as Excel (including advanced data manipulation techniques) and Power BI.
• Interest in public health or issues relevant to health services research, MCH , and health program or policy evaluation.
• Ability to plan for and work on multiple projects concurrently.
• Ability to exercise sound judgment in making decisions and maintain thorough documentation of the decision-making process.
• Exemplary communication skills and ability to communicate effectively, both verbally and in writing, complicated processes to diverse audiences.
• Strong commitment to rigorous research methods, objectivity, accuracy of findings, and reproducibility of results.

Job Close Date

07/31/2026

Special Instructions to Applicant

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.

We are only accepting applications submitted by July 31, 2026.

To apply, please visit: https://apptrkr.com/7276688

EEO Statement

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.

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