Postdoctoral Fellow in Biostatistics in Cambridge, MA for Harvard University
Job Seekers, Welcome to ASHG Careers
Search Filters
Use this area to filter your search results. Each filter option allows for multiple selections.
Search Results: 1920 Jobs
Create Alert
Loading... Please wait.
NIH, National Human Genome Research Institute Logo
NIH, National Human Genome Research Institute

Bethesda, Maryland

NEW! NEW!
Memorial Sloan Kettering Cancer Center (MSK)

New York, New York

The University of Chicago

Chicago, Illinois

National Institute of Mental Health

United States - Nationwide

Pacific Northwest Research Institute

Seattle, Washington

AMN Healthcare

East Lansing, Michigan

University of Pittsburgh, School of Dental Medicine

Pittsburgh, Pennsylvania

Children's Hospital of Philadelphia Logo
Children's Hospital of Philadelphia

Philadelphia, Pennsylvania

University of Southern California Logo
University of Southern California

Los Angeles, California

UC Davis Department of Pediatrics Logo
UC Davis Department of Pediatrics

Sacramento, California

Mayo Clinic

Phoenix, Arizona

Takara Bio USA

San Jose , California

Confidential

Rockville, Maryland

RTI International

Research Triangle Park, North Carolina

Eisai

Cambridge, Massachusetts

University of Wisconsin, Madison - Department of Pediatrics Logo
University of Wisconsin, Madison - Department of Pediatrics

Madison, Wisconsin

American Society of Human Genetics Logo
American Society of Human Genetics

Rockville, Maryland

American Society of Human Genetics Logo
American Society of Human Genetics

Rockville, Maryland

Loading... Please wait.
Postdoctoral Fellow in Biostatistics
School: Harvard T.H. Chan School of Public HealthPosition Description: This is a postdoctoral position developing statistical methods for finding patterns in complex biomedical data, working with Jeff Miller in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health.  Models and methods of interest include hierarchical regression models, latent factorization models, nonparametric Bayesian models, models for sequential data, mixture models, machine learning algorithms, and robustness to model misspecification.  This postdoctoral position will involve working with Dr. Miller and collaborators to develop statistical methods and software tools for analyzing high-dimensional biomedical data from cancer genomics and clinic


This job listing is no longer active.

Check the left side of the screen for similar opportunities.
Loading. Please wait.
Powered By Naylor Association Solutions