Position Type: Permanent Staff
Department: Lineberger Compr Cancer Center - 426801
Appointment Type: EHRA Non-Faculty Research
Vacancy ID: NF0002665
Position Summary: A Research Associate (research data statistical analyst) with a strong statistical, biostatistical background, for multiple research studies in UNC Lineberger needed for the analysis of large secondary health care related data. This position is needed to assist in the design, analysis, and interpretation of diverse health services and observational research studies, primarily using SAS. This person will interface directly with clinical and research partners to help operationalize research questions, recommend and apply analytic approaches and assist with interpretation.
Education Requirements: Completion of a Master's in biostatistics, epidemiology, health services research, systems engineering, or related Public Health degree is preferred OR Bachelor's degree and at least five years working in health services or outcomes research required.
Qualification and Experience: Required: Demonstrated knowledge of and experience in methods appropriate for analysis of health and health outcomes. Demonstrated skill and experience with advanced SAS programming including SAS Macro or SQL. Applicants with no evidence of SAS experience in application materials will not be considered. Strong skills in biostatistics and epidemiologic methods including survival analysis, longitudinal data analysis, multi-level modeling, time-varying covariates and familiarity with pharmacoepidemiologic methods (propensity score analysis, instrumental variables), Bayesian models, missing data, and censoring truncation. Expertise in documenting research decisions, assumptions, and steps applied in study analysis. A history of good communication and collaborative interpersonal skills, and proactive team orientation. Strongly Preferred: Experience in cancer research and with analysis of registry, clinical trials and administrative claims data (e.g., Medicare); and management of large datasets (e.g., 250,000 observations; 1000 variables). Preferred: Experience with CART modeling, structural equation models, joinpoint regression, and proficiency in statistical packages such as R and Winbugs.
Equal Opportunity Employer: The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.
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