Job Seekers, Welcome to ASHG Careers
Search Filters
Use this area to filter your search results. Each filter option allows for multiple selections.
Boston Children’s Hospital (a Harvard Teaching Hospital)
Boston, Massachusetts
Featured! Featured!
NEW! NEW!
Boston Children’s Hospital (a Harvard Teaching Hospital)
Boston, Massachusetts
Featured! Featured!
NEW! NEW!
Rutgers New Jersey Medical School Dept. of Pediatrics
Newark, New Jersey
Featured! Featured!
NYU Grossman School of Medicine: Center for Human Genetics and Genomics
New York, New York
The University of Texas Rio Grande Valley School of Medicine
Harlingen, Texas
University of Virginia
Charlottesville, Virginia
Assistant Professor, Clinical Statistical Geneticist/Epidemiologist, Division of Genomic Diagnostics
Children's Hospital of Philadelphia | Perelman School of Medicine, University of Pennsylvania
Philadelphia, Pennsylvania
University of Arkansas for Medical Sciences @ Arkansas Children's Hospital
Little Rock, Arkansas
NEW! NEW!
Cincinnati Children's Hospital Medical Center
Cincinnati, Ohio
NEW! NEW!
NEW! NEW!
NEW! NEW!
NEW! NEW!
Stanford Children's Health - Lucile Packard Children's Hospital
Palo Alto, California
NEW! NEW!
NEW! NEW!
NEW! NEW!
Memorial Sloan Kettering Cancer Center
New York, New York
NEW! NEW!
NEW! NEW!
NEW! NEW!
NEW! NEW!
Columbia University
New York, New York
NEW! NEW!
Indiana University Purdue University Indianapolis
Indianapolis, Indiana,
NEW! NEW!
Loading... Please wait.
Graduate Assistant
Position Summary: Rutgers, The State University of New Jersey is seeking a Graduate Assistant in Systems Biology at Rutgers Cancer Institute of New Jersey.The Khiabanian Lab at Rutgers University is seeking a graduate research assistant with a background in physical and mathematical sciences to join a multidisciplinary research team at the Center for Systems and Computational Biology at Rutgers Cancer Institute of New Jersey. The research will be focused on developing computational tools for cancer genomics and translational medicine, aiming to develop statistical methods to study tumor clonal evolution and to dissect the molecular heterogeneity that enables it to evolve and resist current treatments, especially in hematological malignancies.
Loading. Please wait.
Powered By
