UNIV - Statistical and Research Analyst II - Department of PHS

About the role

The Programmer/Research Analyst supports research initiatives using large-scale healthcare data sources, including Medicare, Medicaid, SEER, NHANES, Optum, and electronic medical records. This role contributes to federally funded projects supported by the National Cancer Institute and the National Library of Medicine, focusing on cancer prevention, treatment, and survivorship.

Responsibilities

• 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.
• 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.
• Develop high-quality, well-documented code; support manuscript-ready analyses; contribute to presentations at national and international conferences; and participate in collaborative research teams.

Requirements

• 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.

Qualifications

• 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.

Skills

• Programming with SAS, SQL, Python, R, or Stata
• Data integration, cleaning, and transformation
• Descriptive and exploratory analyses
• Literature reviews and support research synthesis

Benefits

N/A

Pay

$39,300.00 - $66,800.00 annually

Schedule

40 hours per week