UNIV - Statistical and Research Analyst II - Department of PHS

UNIV

• Statistical and Research Analyst II
• Department of

PHS 3.6 3.6

out of 5 stars Charleston, SC $39,300

• $66,800 a year
• Full-time

MUSC 908

reviews $39,300

• $66,800 a year
• Full-time

R-0000061784

Charleston, South Carolina Research & Statistics Technical Services Full Time University (UNIV) Job Description Summary The Programmer/Research Analyst will support research initiatives using large scale healthcare data sources, including Medicare, Medicaid, SEER, NHANES, Optum, and electronic medical records. Working within the Hollings Cancer Center (HCC) and the Medical University of South Carolina (MUSC), this role contributes to federally funded projects supported by the National Cancer Institute and the National Library of Medicine, with a focus on cancer prevention, treatment, and survivorship. The analyst will design, build, and maintain analytic datasets; develop reproducible pipelines; and implement computational methods that enable effectiveness and cost effectiveness studies, precision public health research, and health services research. The role also offers opportunities to collaborate on multidisciplinary projects involving mixed methods research and the application of machine learning (ML) and artificial intelligence (AI) to population level and clinical outcomes. Entity Medical University of South Carolina (MUSC

• Univ) Worker Type Employee Worker Sub-Type Research Grant Cost Center

CC001038 COM PHS

Operations CC Pay Rate Type Hourly Pay Grade University-GEN07 Pay Range 39,300.00

• 53,100.00
• 66,800.

000 Scheduled Weekly Hours 40

Work Shift Job Description Job Description:

The Programmer/Research Analyst will support research initiatives using large‑scale healthcare data sources, including Medicare, Medicaid, SEER, NHANES, Optum, and electronic medical records. Working within the Hollings Cancer Center (HCC) and the Medical University of South Carolina (MUSC), this role contributes to federally funded projects supported by the National Cancer Institute and the National Library of Medicine, with a focus on cancer prevention, treatment, and survivorship. The analyst will design, build, and maintain analytic datasets; develop reproducible pipelines; and implement computational methods that enable effectiveness and cost‑effectiveness studies, precision public health research, and health services research. The role also offers opportunities to collaborate on multidisciplinary projects involving mixed‑methods research and the application of machine learning (ML) and artificial intelligence (AI) to population‑level and clinical outcomes. Key responsibilities include developing high‑quality, well‑documented code; supporting manuscript‑ready analyses; contributing to presentations at national and international conferences; and participating in collaborative research teams. Team members are encouraged to pursue career development opportunities, with strong support from mentors and dedicated staff at HCC and MUSC.

Job Description:

Build and maintain analytic datasets and data pipelines Design, implement, and document reproducible workflows for assembling large‑scale healthcare datasets used in real‑world evidence and oncology research.

Percentage time allocation:

30% Develop statistical and computational code for analyses and modeling Write efficient, well‑structured code to support effectiveness, cost‑effectiveness, and health services research, including model implementation and validation.

Percentage time allocation:

25% Perform data integration, cleaning, and transformation Merge heterogeneous data sources (claims, EMR, registry, survey data), conduct quality checks, and prepare analysis‑ready datasets.

Percentage time allocation:

20% Conduct descriptive and exploratory analyses Generate summary statistics, visualizations, and preliminary findings to guide study design and analytic decisions.

Percentage time allocation:

15% Conduct literature reviews and support research synthesis Review and summarize scientific literature related to cancer prevention and control, population health, social determinants of health, health disparities, and related topics.

Percentage time allocation:

10%

MUSC Minimum Training and Experience Requirements:

A high school diploma and two years' work experience as a Statistical and Research Analyst I.. A bachelor's degree with mathematics and/or statistics courses may be substituted for the required work experience.

Preferred Qualifications:

Master's degree (minimum) in health informatics, data science, health services research, biostatistics, epidemiology, or a related quantitative field. Demonstrated experience programming with SAS, SQL, Python, R, or Stata, including building and managing large analytic datasets. Proven experience working with administrative claims data or other large‑scale healthcare datasets. Strong oral and written communication skills and the ability to work effectively with a diverse research team.

Additional Job Description Minimum Requirements:

A high school diploma and two years work experience as a Statistical and Research Analyst I.. A bachelor's degree with mathematics and/or statistics courses may be substituted for the required work experience.

Physical Requirements:

(

Note:

The following descriptions are applicable to this section: Continuous

• 6-8 hours per shift; Frequent
• 2-6 hours per shift; Infrequent
• 0-2 hours per shift) Ability to perform job functions in an upright position.

(Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work outdoors in all weather and temperature extremes. (Infrequent) Ability to work in confined/cramped spaces. (Infrequent) Ability to perform job functions from kneeling positions. (Infrequent) Ability to bend at the waist. (Frequent) Ability to squat and perform job functions. (Infrequent) Ability to perform 'pinching' operations. (Infrequent) Ability to fully use both hands/arms. (Continuous) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift and carry 15 lbs., unassisted. (Frequent) Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Frequent) Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Frequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Frequent) Ability to maintain 20/40 vision, corrected. (Continuous) Ability to see and recognize objects close at hand. (Continuous) Ability to see and recognize objects at a distance. (Continuous) Ability to match or discriminate between colors. (Continuous) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to maintain hearing acuity, with correction. (Continuous) Ability to hear and/or understand whispered conversations at a distance of 3 feet. Ability to perform gross motor functions with frequent fine motor movements. (Continuous) Ability to work in dusty areas. (Infrequent) If you like working with energetic enthusiastic individuals, you will enjoy your career with us! The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees