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Postdoctoral Fellow – Statistical analysis of digital sensor data for mental health research jobs in United States
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UCLA Health · 4 hours ago

Postdoctoral Fellow – Statistical analysis of digital sensor data for mental health research

UCLA Health is seeking a Postdoctoral Fellow in the Semel Institute for Neuroscience and Human Behavior. The role involves developing and applying advanced machine learning methods to analyze digital sensor data related to mental health, with opportunities for collaboration across disciplines.
Hospital & Health Care
Hiring Manager
Veronica Tozzo
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Responsibilities

Develop time-varying network inference models to analyze symptoms and behavior over time
Apply models to learn the relationship between digital sensors and mental health, with a focus on device usage in young adults
Disseminate results through publications, conference presentations, and open-source software tools

Qualification

Ph.D. in quantitative fieldPythonRBiomedical research interestPeer-reviewed publicationsInterdisciplinary collaborationCommunication skills

Required

Ph.D. (obtained or expected) in Bioinformatics, Biostatistics, Statistics, Mathematics, or related quantitative field
Proficiency in Python and R
Demonstrated interest in biomedical questions and gaining in-depth knowledge of biomedicine
Track record of peer-reviewed publications
Ability to work both independently and collaboratively in an interdisciplinary environment

Preferred

Digital mental health research
Biomedical and Electronic Health Records research
Excellent communication skills for both technical and interdisciplinary collaborations

Company

UCLA Health

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For more than half a century, UCLA Health has provided the best in healthcare and the latest in medical technology to the people of Los Angeles and throughout the world.

Funding

Current Stage
Late Stage

Leadership Team

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Alexis Sexton
Chief Financial Officer, Semel Institute
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Andrew Titus
Chief Financial Officer - Department of Family Medicine
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