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University of South Carolina

MCH Health Care Data Analyst

Posting Number

RTF00041PO26

USC Market Title

Sr. Research Associate

Link to USC Market Title

https://uscjobs.sc.edu/titles/169217

Business Title (Internal Title)

MCH Health Care Data Analyst

Campus

Columbia

Work County

Richland

College/Division

College of Social Work

Department

COSW Institute for Families in Society

Anticipated Hiring Range

$80,000

Location of Vacancy

Columbia, SC

Part/Full Time

Full Time

Hours per Week

37.5

Work Schedule

Monday through Friday, 8:30am until 5:00pm.

Must be willing to work a flexible schedule to meet the needs of the department.

Type of Staff Position

Staff Research Grant (SRGP)

Basis

12 months

Job Search Category

Information Technology

About USC

About University of South Carolina

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.

Benefits for Research Grant or Time-Limited Positions Are Indicated Below

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.

South Carolina Retirement

Yes

State Insurance Programs

Yes

Annual Leave

Yes

Sick Leave

Yes

Position Description

Advertised Job Summary

The Senior Research Associate/MCH Health Care Data Analyst provides 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.

Job Related Minimum Required Education and Experience

Requires a master’s degree in area of research specialty and five years of job related experience.

Required Certification, Licensure/Other Credentials

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 Duties

Job Duty

Actively contributes to the review of working practices and developing data analysis and management standard operating procedures, including developing rigorous documentation of methods, decisions, flowcharts, and other practices that ensure reproducibility of results.

(15%) Analyzes and interprets complex healthcare data.

Essential Function

Yes

Percentage of Time

Job Duty

Analyzes and interprets complex healthcare data from various sources; identifies, analyzes, and interprets trends and patterns in complex datasets to understand MCH issues.

Essential Function

Yes

Percentage of Time

Job Duty

Obtains, validates, and compiles data from multiple sources to create summary files for both external and internal use.

Essential Function

Yes

Percentage of Time

Job Duty

Manages large databases of health insurance claims from Medicaid, Medicare, all-payer data warehouses, and other state administrative datasets, as well as EHR data.

Essential Function

Yes

Percentage of Time

Job Duty

Creates clear reports that demonstrate analytic findings and present these to the management and relevant stakeholders; Ensures accuracy and timeliness of reports, including regularly scheduled and ad-hoc reporting requests. Responsible for all follow-up and/or research requests regarding clinical data.

Essential Function

Yes

Percentage of Time

Job Duty

Coordinates and problem-solves with Institute faculty/staff to understand needed support and use cases and develops innovative solutions to fill gaps in analytics.

Essential Function

Yes

Percentage of Time

Job Duty

Works independently under the direction of the Principal Investigators to design, manage, implement, and interpret statistical analyses focused on MCH-related healthcare expenditures, utilization, and quality.

Essential Function

Yes

Percentage of Time

Job Duty

Performs other research related duties as assigned.

Essential Function

Yes

Percentage of Time

Position Attributes

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.

Posting Detail Information

Number of Vacancies

Desired Start Date

05/01/2026

Position End Date

06/30/2028

Job Open Date

03/11/2026

Job Close Date

04/24/2026

Open Until Filled

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 April 24, 2026.

Quicklink for Posting

https://uscjobs.sc.edu/postings/203310

EEO Statement

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.

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