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Broad Institute of MIT and Harvard

Cambridge, Massachusetts

Nonin Medical

Plymouth, Minnesota

Sera Prognostics

Salt Lake City, Utah

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California State University Long Beach

LONG BEACH, California

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APC Technologies, INC

Nationwide

San Jose State University

San Jose , California

City of Aspen

Aspen, Colorado

Singapore Management University

singapore, Singapore

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Design Alaska, Inc.

Fairbanks, Alaska

UCLA Health

Los Angeles, California

Louisiana State University Agricultural Center and LSU College of Agriculture

BATON ROUGE, Louisiana

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Super Brush LLC

Springfield, Massachusetts

SmithGroup

Los Angeles, California

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Silicon Valley Power

Santa Clara, California

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SickKids Research Institute

Toronto, Ontario, Canada

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GMS, Inc., Consulting Engineers

Colorado Springs, Colorado

Orange County Sanitation District

California

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Georgetown University McDonough School of Business

Washington , D.C.

Department of Industrial and Systems Engineering, University at Buffalo

Buffalo, New York

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Kupono Government Services

Orlando, Florida

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Central Lincoln PUD

NEWPORT, Oregon

https://www.governmentjobs.com/careers/sbcta/jobs/3025847/right-of-way-specialist?pagetype=jobOpport Logo
https://www.governmentjobs.com/careers/sbcta/jobs/3025847/right-of-way-specialist?pagetype=jobOpport

San Bernardino, California

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Bioinformatics Scientist/ Scientific Data Curator
Computercraft is seeking a biologist with a background in human clinical or animal model phenotype data. The successful candidate will curate clinical phenotype data from the National Center for Biotechnology Information (NCBI) database on Genotype and Phenotype (dbGaP), accessible online at https://www.ncbi.nlm.nih.gov/gap. Our scientists work at the National Institutes of Health (NIH) in Bethesda, MD, in a production-oriented, rather than research-oriented, environment. dbGaP was developed to archive and distribute the data and results from studies investigating the interaction of genotype and phenotype in humans to assist scientists in discovering associations between genetic variants and risks for disease. Responsi


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