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Los Alamos National Laboratory

Los Alamos, New Mexico

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U.S Food and Drug Administration, Center for Devices and Radiological Health

Silver Spring, Maryland

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Thorlabs

Newton, New Jersey

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El Paso County

Colorado Springs, Colorado

Eugene Water & Electric Board

Eugene, Oregon

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Moffitt Cancer Center

Tampa, Florida

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City of Austin

Austin, Texas

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Gilbarco Veeder-Root

Greensboro, North Carolina

Meggitt

North Hollywood, California

The Permanente Medical Group, Inc. (Kaiser Permanente Northern California)

Modesto & Oakland, California

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Senga Engineering

Santa Ana, California

T. Rowe Price

Owings Mills, Maryland

University of Arkansas for Medical Sciences @ Arkansas Children's Hospital

Little Rock, Arkansas

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NIH National Human Genome Research Institute & FDA Office of Minority Health and Health Equity

Bethesda, Maryland

Penn State Behrend

Erie, Pennsylvania

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University Park, Pennsylvania

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Yale University School of Medicine, Department of Genetics

New Haven, Connecticut

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Delaware Valley Regional Planning Commission

Philadelphia, Pennsylvania

Co-Diagnostics, Inc.

Salt Lake City, Utah

The University of California, Agriculture and Natural Resources (UC ANR)

Parlier, California

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University of North Alabama

Florence, Alabama

University of California, Agriculture and Natural Resources

Parlier, California

University of California, Agriculture and Natural Resources

Parlier, California

MATERION

Milwaukee, Wisconsin

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Statistical Geneticist
We are seeking a highly motivated human statistical geneticist to work on therapeutic target discovery. The successful candidate will analyze publicly-available and large-scale human genetic data-sets (e.g. biobank exome data) to identify and characterize disease risk or protective variants/genes. Variant effect characterization will be carried out using Deep Genomics' proprietary variant effect predictors based on deep learning models trained on large-scale genomics data, in addition to existing techniques such as fine mapping. Deep Genomics has offices in Toronto (Canada) and Boston. Applicants located in Toronto or Boston will be preferred, but other remote-work arrangements are also possible.


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