Post Doctoral Associate in Multi-Omics

Job Overview

Apply now Job no: 535112

Work type: Post Doc Associate

Location: Main Campus (Gainesville, FL)

Categories: Biology/Life Science, Allied Health, Grant or Research Administration, Health Care Administration/Support

Department:  - PHHP-COM EPIDEMIOLOGY

The Department of Epidemiology ((Use the "Apply for this Job" box below).) 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. Our faculty and students have received numerous national awards in research and mentoring and are committed to excellence training.

The department offers an epidemiology PhD, Master of Science, and concentration in the MPH program. It is also home to two National Institutes of Health Training grants (T32). Faculty members are strongly supported by our college-level instructional design team for course development and delivery and by our research core for grant development and submission.

Dr. Jinling Liu’s laboratory () at the University of Florida's Department of Epidemiology and The Center for Genetic Epidemiology and Bioinformatics (Gene Bio; ) is accepting applications for 1-2 fully-funded postdoctoral associate positions, starting immediately. 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., multi-omics) in biology and medicine for precision medicine via a variety of statistical and machine learning techniques – one of her projects along these lines has been recently funded by a prestigious NIH Career Development Award for young investigators.

She is committed to advancing precision medicine through her work.

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.

• Multi-omics data analysis and integration.
• Novel method development and application using statistical and machine learning techniques.
• Manuscript writing and conference presentation.
• Assistance with grant applications and student mentoring.

$62,232 annually; commensurate with experience level and in accordance with current NIH postdoctoral salary guidelines.

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

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

• 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.

Interested applicants should submit an…