Associate Epidemiologist-Data Wrangler, Survivorship
About The Position
The Associate Epidemiologist-Data Wrangler is responsible for collecting and analyzing significant amounts of data that can be used to discover better treatments and cures for catastrophic childhood illnesses. The Department of Epidemiology and Cancer Control has an additional interest in the study of long-term effects of such illnesses and their treatment. This position will serve as a member of our Data Wrangling team alongside four existing data specialists. We are looking for a focused, detailed driven individual to coordinate diverse data sets in support of our survivorship research teams. Our preferred candidate can independently integrate, assemble, manipulate, summarize, and disseminate data from numerous disparate systems. In addition, this individual is comfortable communicating with clinicians, epidemiologists, behavioral scientists, statisticians, and other interested staff concerning various study data points. The best candidate for this position will be an inquisitive thinker and resourceful problem-solver who is very comfortable using a programming language daily. While SAS is preferred, we are open to candidates proficient in SQL, Python, or other comparable languages.
Requirements
- Bachelor's degree in biostatistics, statistics, epidemiology or related field required.
- Bachelor's degree with 2+ years of related experience required.
Nice To Haves
- Master's degree preferred.
- Master's degree with no years of experience.
- Preferred proficiency using a programming language daily.
- SAS proficiency is highly preferred.
- Experience with SQL, Python, or other comparable programming languages is also preferred.
- Preferred experience working with data in population sciences, public health, or related fields.
Responsibilities
- Provide knowledge in statistical and/or epidemiological analysis to institutional researchers conducting basic, translational, clinical and/or population science studies as designated by collaboration areas.
- Perform data QA/QC, data management, programming for data preparation, and statistical and/or epidemiological analyses using standard statistical packages.
- Work under general guidance of a supervising faculty or designee.
- Perform other duties as assigned to meet the goals and objectives of the department and institution.
- Maintains regular and predictable attendance.
Benefits
- St. Jude is an Equal Opportunity Employer
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
