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SJ
St. Jude Children's Research Hospital
Associate Epidemiologist-Data Wrangler, Survivorship
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What they do
An Epidemiologist collects information and investigates diseases, infections or other health problems that appear in a community. Analyzes data gathered from surveys, interviews, observations or samples, and reports findings. May direct studies of public health problems and advise on ways to prevent or treat problems or reduce risks.
$87,522 / year median in Tennessee
+11% projected growth
Job Description
Associate Epidemiologist-Data Wrangler, Survivorship Location Memphis, TN Category Computational Sciences Department Epidemiology and Cancer Control Shift Weekday Day Position Type Full Time Scheduled Weekly Hours 40 Req # JR7428 Job Description 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 is located in Memphis, TN and offers a hybrid work schedule. Research that changes the course of childhood cancer survivorship starts here, in the Department of Epidemiology and Cancer Control. With two decades of experience leading multi-disciplinary research in epidemiology, outcomes and interventions, our researchers and staff study and support patients today to improve lives over the long term. We are growing our team and adding this new position. 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.