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Div. Pharmacoepidemiology & Pharmacoeconomics, Brigham & women's Hospital / Harvard Medical School Logo
Div. Pharmacoepidemiology & Pharmacoeconomics, Brigham & women's Hospital / Harvard Medical School

Boston, Massachusetts

Kindred Hospitals Logo
Kindred Hospitals

Cook, Illinois

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WMC Health

Suffern, New York

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Veterans Affairs, Veterans Health Administration

Murfreesboro, Tennessee

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AdventHealth

Orlando, Florida

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Memorial Sloan Kettering Cancer Center

New York, New York

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Shelby Baptist Med Ctr

Birmingham, Alabama

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Penn State Health

Reading, Pennsylvania

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Veterans Affairs, Veterans Health Administration

Dublin, Georgia

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AdventHealth

Edgewater, Florida

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AdventHealth

Daytona Beach, Florida

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Veterans Affairs, Veterans Health Administration

Dublin, Georgia

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Veterans Affairs, Veterans Health Administration

Lebanon, Pennsylvania

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AdventHealth

Jacksonville, Florida

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AdventHealth

Port Orange, Florida

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Vanderbilt Health

Nashville, Tennessee

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Vanderbilt Health

Nashville, Tennessee

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Veterans Affairs, Veterans Health Administration

Tallahassee, Florida

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Geisinger

Pottsville, Pennsylvania

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Veterans Affairs, Veterans Health Administration

Cleveland, Ohio

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Veterans Affairs, Veterans Health Administration

Milwaukee, Wisconsin

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Veterans Affairs, Veterans Health Administration

Decatur, Georgia

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AdventHealth

Orlando, Florida

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Veterans Affairs, Veterans Health Administration

Martinez, California

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Staff Scientist, Biomedical Informatics
Description JOB SUMMARY: The Walsh Lab translates Healthcare Data to Action through Machine Learning and Decision Support for vulnerable populations like those with suicidality and mental illness. A core aspect of this position will be to independently design and carry out sophisticated data analyses and to contribute to algorithm development and validation on a number of active projects. Our research focuses on the application of data science to complex healthcare data to enable mental, behavioral, and population health. Our collaborators are internists, psychiatrists, psychologists, engineers, epidemiologists, statisticians, community case managers, mobile crisis teams, and more. We translate our predictive algo


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