Associate Epidemiologist-Data Wrangler, Survivorship

St. Jude Children's Research Hospital · United States

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. Job 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.

• Bachelor's degree in biostatistics, statistics, epidemiology or related field required.
• Master's degree preferred.

• Minimum Requirement: Bachelor's degree with 2+ years of related experience required.
• Experience Exception: Master's degree with no years of experience.

• Preferred proficiency using a programming language daily.
• SAS proficiency is highly preferred. As an alternative, 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.