Center for Healthcare Quality Statistical​/Research Analyst

Center for Healthcare Quality Statistical/Research Analyst

The South Carolina Department of Health Promotion, Education, and Behavior and Smart State Center for Healthcare Quality (CHQ) at University of South Carolina (USC) Arnold School of Public Health invites applications for two Statistical/Research Analyst 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.

Requires a bachelor's degree in a job related field and 2 or more years of job related experience, which may be substituted by an equivalent combination of job related certification, training, education, and/or experience.

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. Proficiency in statistical and computational languages (SQL, SAS, R, Python, etc.), skills 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).

Ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills.

Conduct data curation, data integration, data cleaning and data management of a variety of different datasets, including secondary data (electronic health record data, geospatial data, publicly available data).

Design, analyze, and interpret data for scientific research and generate readable reports and results for peer-reviewed publications and grant applications.

Apply rigorous analytic methods to monitor and evaluate scientific efforts, progress, and outcomes across multiple research projects.

Develop new analytic strategies to accelerate the time from idea/data generation to research findings.

Assist the PIs and other team members on other tasks such as manuscript/proposal preparation and interpretation of results.