Biostatistician - School of Medicine, Radiation Oncology
About The Position
The Biostatistician will be supervised by Dr. Xin Hu, an assistant professor in Health Economics and Health Services Research. The Biostatistician will meet and collaborate with internal and external investigators with complementary expertise, such as in medicine, health informatics, and decision sciences. The biostatistician will engage in cancer-related research in population data-driven health services and policy research aimed at improving access to, outcomes of, and equity in cancer care delivery and outcomes. This position will be supported by a rich collection of population claims (SEER-Medicare, MarketScan), EHR data (EPIC COSMOS), and strong data and research infrastructure provided by the Department of Radiation Oncology, Division of Health Services, Policy, and Outcomes.
Requirements
- A bachelor's degree in statistics, biostatistics, computer science, or a related field and two years related experience, OR an equivalent combination of education, training, and/or experience.
Responsibilities
- Develops and analyzes a variety of research data using statistical methods.
- Assists researchers in developing appropriate study protocols and computer analyses.
- Manages computer systems, writes programs, and trains others in the use of systems.
- Provides statistical expertise in the areas of study design and data analysis to investigators/researchers interested in conducting clinical or experimental studies.
- Works effectively within a group setting in areas of design of data collection instruments, study design, database management, statistical programming, analysis of data, statistical graphics, and writing of reports which include explanations of methods used and interpretation of results obtained.
- Consults with investigators to determine questions of interest and data needed to address those questions.
- Determines and carries out appropriate statistical analyses.
- Interprets and presents data descriptions and analysis results including the explanation of statistical techniques used, the assumptions made and the generalization of results.
- Documents methods and results through preparation of interdepartmental memoranda and reports.
- Performs related responsibilities as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
