The Stravitz‐Sanyal Institute for Liver Disease and Metabolic Health is recruiting a highly motivated postdoctoral fellow to join Dr. Arun Sanyal’s lab. The research within the institute focuses on tackling liver diseases with new ways to prevent, reverse and cure them. Our team of highly specialized physician-scientists conducts cutting-edge investigations through benchmark research and clinical trials across a broad spectrum of diseases and conditions related to liver. The Institute engages in multiple partnerships with pharmaceutical companies and academic institutions to accelerate translational research. You will work alongside luminaries and key opinion leaders in the fields of liver and metabolic health to accelerate and translate discoveries into clinical practice.
This postdoctoral position will work on the development a multi-omic Liver Atlas. This is a data platform for understanding how liver diseases develop and progress and how they impact the health of other organs in human body. The Liver Atlas will unify diverse multi-omic datasets generated from primary human tissue—including single-cell and spatial transcriptomics, genomics, metabolomics, and proteomics—to provide a comprehensive, systems-level view of liver biology in health and disease.
Postdoctoral employment is normally limited to an individual who has been awarded a doctoral degree within the previous five years. This is a 12-month appointment with the possibility of renewal (for an additional 1-2 years in one-year increments) contingent upon satisfactory performance and the availability of funding. Salary will be commensurate with education and experience. Salary is based on NRSA scale for postdoctoral stipends – NOT-OD-25-105. This position will remain open until filled. The University will perform background checks on all new hires prior to employment.
-Ph.D. in Computational Biology, Molecular Biology, Computer Science, Statistics, Biostatistics or related fields.
-Excellent computational skills: proficiency in R and Python, R Shiny, high-performance computing
-Excellent record of scientific contributions, publications, and presentations: primary or key author on one or more major presentations and papers.
-Deep knowledge of computational tools and programming environments commonly used for omics data analysis (command line, HPC, Python, R, Bioconductor, etc.), and demonstrated experience in single-cell and spatial data analysis.
-Experience with computational systems biology techniques (e.g., network analysis, QSP, PB-PKPD, FBA, ODEs, agent-based modeling, etc.)
-Experience working in collaborative environment, ability to work on multiple projects, and shifting priorities to meet deadlines.
-Creativity, curiosity, high energy, and the desire, persistence and ability to create scientific advances in biomedical science.
-Independence, scientific rigor and critical thinking
-Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a staff member at VCU.
Apply through the VCU Jobs site: vcujobs.com/jobs/post-doctoral-research-fellow-som-stravitz-sanyal-institute-for-liver-disease-atlas-vcu-main-campus-virginia-united-states