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Supply Chain and Operations Dept., University of Minnesota

Minneapolis, Minnesota

Deep Genomics Inc. Logo
Deep Genomics Inc.


San Francisco, California

Farmingdale State College

Farmingdale, New York


Murphy, North Carolina

University of California, Davis

Davis, California

IHRC, Inc.


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City Of Missouri City

Missouri City, Texas

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Stevens Institute of Technology

Hoboken, New Jersey

The University of Tennessee - Knoxville: Department of Industrial and Systems Engineering (ISE)

Knoxville, Tennessee

Optym Logo

Dallas, Texas

Louisiana State University Agricultural Center and LSU College of Agriculture

BATON ROUGE, Louisiana

University of Rochester

Rochester, New York

Williams Logo

Salineville, Ohio

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Kissimmee Utility Authority

Kissimmee, Florida

UF College of Medicine, Department of Molecular Genetics and Microbiology Logo
UF College of Medicine, Department of Molecular Genetics and Microbiology

Gainesville, Florida

Babson College

Babson Park, Massachusetts

City of Kirkland

Kirkland, Washington

Tulane University- Freeman School of Business

New Orleans, Louisiana

thyssenkrupp Material, North America, Copper and Brass Sales Logo
thyssenkrupp Material, North America, Copper and Brass Sales

Fresno, California

Francis Marion University

Florence, South Carolina

Phoenix Children's Hospital

Phoenix, Arizona

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American Society of Human Genetics

Rockville, Maryland

Technical University of Munich

Munich, Germany

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Scientist II, Statistical and Quantitative Genetics
Job Description We are seeking a strong, method-oriented statistical geneticist and/or quantitative geneticist to join Biogen’s Statistical Genetics and Genetic Epidemiology team. This team is responsible for providing genetics and genomics expertise to the R&D organization with a focus on developing and applying cutting-edge genetic approaches to support early target discovery and validation. Effective use of disruptive technologies is at the heart of Biogen’s strategy to discover and develop highly differentiated medicines. We are investing in human genetics and genomics, digital technologies and advanced analytics to address scientific questions that will improve the discovery and development of the next generation of therapeutics. The

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