Postdoctoral Scholar–Genetics Genomics and Informatics Position Available In Shelby, Tennessee
Tallo's Job Summary: The University of Tennessee Health Science Center is seeking a Postdoctoral Scholar in Genetics, Genomics, and Informatics to develop machine learning strategies for genomic medicine. The position, funded by an NIH R01 grant until August 2026, requires a Ph.D. in Computational Biology, Computer Science, or Statistics, with expertise in machine learning and bioinformatics.
Job Description
Postdoctoral Scholar–Genetics Genomics and Informatics
University of Tennessee Chattanooga Memphis, TN Full-time Education
Posted on April 19, 2025
Job Description
The biomedical data science lab (cuilab.net) at University of Tennessee Health Science Center is looking for highly motivated candidates for a Postdoctoral Scholar position. The successful candidate will have the opportunity to develop innovative machine learning strategies for equitable genomic medicine. Our goal is to prevent or reduce new heath disparities arising from biomedical data inequality, by obtaining key knowledge and creating open resources to establish a new paradigm for machine learning with multiethnic biomedical data. This position is funded by an NIH R01 grant until August 2026.
The biomedical data science lab (cuilab.net) at University of Tennessee Health Science Center is looking for highly motivated candidates for a Postdoctoral Scholar position. The successful candidate will have the opportunity to develop innovative machine learning strategies for equitable genomic medicine. Our goal is to prevent or reduce new heath disparities arising from biomedical data inequality, by obtaining key knowledge and creating open resources to establish a new paradigm for machine learning with multiethnic biomedical data. This position is funded by an NIH R01 grant until August 2026.
Responsibilities
The biomedical data science lab (cuilab.net) at University of Tennessee Health Science Center is looking for highly motivated candidates for a Postdoctoral Scholar position. The successful candidate will have the opportunity to develop innovative machine learning strategies for equitable genomic medicine. Our goal is to prevent or reduce new heath disparities arising from biomedical data inequality, by obtaining key knowledge and creating open resources to establish a new paradigm for machine learning with multiethnic biomedical data. This position is funded by an NIH R01 grant until August 2026.
Qualifications
Ph.D. in Computational Biology, Computer Science, Statistics, or a related field.
Expertise in machine learning and bioinformatics is required.
Research experience in biomedical data analysis is a significant plus.
