Postdoctoral Scholar Position -- Machine Learning for Equitable Genomic Medicine
The biomedical data science lab (https://www.cuilab.net) at the 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 health 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. For more information about the scientific premise and rationale for this research program, please see our pilot study paper (Deep transfer learning for reducing health care disparities arising from biomedical data inequality).
This position is funded by an NIH R01 grant until August 2026.
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.
Located in Memphis, USA, a dynamic city rich in culture, history, diversity, music, and cuisine, the University of Tennessee Health Science Center is one of the largest and most comprehensive academic health centers in the United States with a solid commitment to postdoctoral training. This position includes an excellent benefits package.
HOW TO APPLY: Please send your CV to Dr. Yan Cui (email@example.com).
05/26/2022 A new paper "Clinical time-to-event prediction enhanced by incorporating compatible related outcomes" was published in PLOS Digital Health.
01/01/2022 Teena Sharma joined our lab. Welcome, Teena!
09/03/2021 Jesse Ziebarth gave a talk titled "The Bayesian Network Webserver: a tool for network modeling of systems genetics data" at The 18th International Meeting of the Complex Trait Community.
09/01/2021 Our new 5-year NCI R01 grant (PI: Yan Cui) started.
08/12/2021 Yan Cui gave a talk titled "Equitable Omics Medicine and Interactive Causal Inference" at University of Tennessee Omics Symposium.
07/29/2021 Yan Cui gave a talk titled "Genomic Data Inequality and Multi-ethnic Machine Learning" at ISMB/ECCB (International Conference on Intelligent Systems for Molecular Biology, and European Conference on Computational Biology) Machine Learning in Computational and Systems Biology Workshop.
07/24/2021 Yan Gao gave a talk titled "Data Inequality, Machine Learning and Health Disparity" at The 2021 International Conference on Machine Learning (ICML) Workshop on Computational Biology.