Postdoctoral Fellow, University of Tennessee Health Science CenterJob Summary/Essential Job FunctionsThe fellow will assist in an ongoing research project studying autism in the Department of Genetics, Genomics, and Informatics. The position will be under the direct supervision of the PI. The fellow will assist with design and conducting assigned project-related related experiments using biochemical, cellular, and molecular biological techniques, consolidate records, analyze research data, and operate laboratory equipment, This position requires handling of chemicals and biological materials. They will also perform analyses using bioinformatics and epidemiological methods as well as assume day-to-day data management and quality control. They will write manuscripts intended for scientific journals and present findings at scientific meetings, as well as assist with determining appropriate study designs and statistical power considerations for grant applications. They will also advise and assist students and other postdocs in the Simpson Lab. This position requires handling of sensitive human subjects data, including that controlled by the Health Insurance Portability and Accountability Act (HIPAA), the Privacy Act and the Genetic Information Nondiscrimination Act (GINA). Duties and Responsibilities
Minimum RequirementsEducationPh.D. or M.D./MPH (or equivalent) in biostatistics, public health, genetics or epidemiology. ExperienceMust have knowledge related to the areas of medicine or biomedical sciences, bioinformatics, epidemiology, and genetics. Must have the ability to learn new techniques and perform logical thinking. Must be highly organized, analytical, and detailed oriented. Research experience in epidemiology, bioinformatics, and genetics is highly preferred. Experience with handling human subjects data, preparing Institutional Review Board (IRB) protocols, and handling data encryption/decryption in secure environments is preferred. Must have experience handling genetic and genomic data. Must have skills in data organization and management, consolidating data for presentation and publication is required. High-level abilities to work in high-performance computing environments in Windows and Linux operating systems is preferred. Mundane computational skills with Word, Excel, PowerPoint, Sharepoint, Teams and Zoom are required. To apply, please send a current CV and cover letter to [email protected].
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