Post Doctoral Associate in Multi-Omics

University of Florida • Gainesville, FL

2d • Onsite

About The Position

The Department of Epidemiology is strategically situated within the College of Public Health and Health Professions (PHHP) and the College of Medicine. Faculty members are jointly appointed to create synergies and collective strength, resulting in a competitive research profile and highly trained students who receive exceptional exposure to a variety of expertise. Dr. Jinling Liu’s laboratory at the University of Florida's Department of Epidemiology and The Cener for Genetic Epidemiology and Bioinformatics (GeneBio) is accepting applications for 1-2 fully-funded postdoctoral associate positions. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a variety of statistical and machine learning techniques. She is committed to advancing precision medicine through her work. She is also collaborating with researchers in other domains for data analytics and decision making. The Liu lab has access to rich high-dimensional multi-omics data, including WGS, WES, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as well as the underlying signaling network for a variety of diseases including aging, cardiovascular diseases, brain diseases, cancer, et al., through novel statistical or deep learning methods development and application. The postdoc associates will be exposed to rich multi-omics data, a variety of diseases, advanced statistical and machine learning methods and wide collaborations with experts from different fields.

Requirements

• PhD degree in computer science, statistics, biostatistics, biomedical informatics or related fields OR a PhD degree in biology or related fields.

Nice To Haves

• A strong background in programming (e.g., Python or R or C++) is essential.
• Research experience utilizing skills of programming, statistics, and AI are essential.
• The ideal candidate should demonstrate independent and critical thinking abilities as well as good communication skills.
• Prior research experience in analyzing biomedical data is preferred.

Responsibilities

• multi-omics data analysis
• novel method development and application
• manuscript writing
• research presentation at conferences
• assistance with grant applications
• student mentoring

Benefits

• comprehensive health and leave benefits
• access to libraries and other research resources available for faculty and postdoctoral associates
• funds each training year to support professional development (e.g., travel to workshops or national conferences, purchase of education materials)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree