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VR Research Engineer | University of California San Diego


University of California San Diego


Location

La Jolla, CA | United States


Job description

UCSD Layoff from Career Appointment : Apply by 12/20/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants : Apply by 1/3/2024 Eligible Special Selection clients should contact their Disability Counselor for assistance.

*Minor revisions have been made to this requisition and does not change the nature of the position effective 01/17/2024. *

DESCRIPTION

The Alzheimer's Disease Cooperative Study (ADCS) was formed in 1991 as a cooperative agreement between the National Institute on Aging (NIA) and the University of California, San Diego. The ADCS is a multi-center clinical trials consortium that provides an operational framework for large-scale Alzheimer's disease research projects. The ADCS consists of 7 cores, 22 committees, 39 research sites that are members of the consortium/Steering Committee, and an additional 40 or more research sites located across the U.S. and Canada that participate in one or more trials coordinated by the ADCS. Annual funding for the ADCS ranges from $15-$25M. The ADCS provides expertise in developing Alzheimer's disease-related protocols and is the coordinating center for multiple clinical trials of varying sizes and complexity under subcontracts funded by NIH and clinical trial agreements with industry partners.

The VR Research Engineer will oversee the engineering development for Pa's Lab at the Alzheimer's Disease Cooperative Study (ADCS) and report directly to Dr. Pa, ADCS Co-Director. The lab focuses on identifying genetic and lifestyle risk factors for Alzheimer's disease and developing innovative interventions for improving brain and cognitive health in older adults. Using a combination of cognitive, behavioral, and neuroimaging techniques, our primary goal is Alzheimer's prevention.

The VR Research Engineer will provide a full range of professional engineering services and use skills as a seasoned, experienced engineering professional for multiple clinical trials research projects. Utilizing a deep understanding of computer vision, machine learning algorithms, and technologies necessary to build interactive, real-time, and immersive systems. Assignments require subject matter knowledge and expertise relevant to research objectives and methodology for different types of research and clinical trial projects, including life-style intervention trials. Establishes best practices and engineering design criteria as required for each clinical trial or research project. Leads virtual reality database development and technology-based intervention development. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.

MINIMUM QUALIFICATIONS

PREFERRED QUALIFICATIONS

SPECIAL CONDITIONS


Job tags

Hourly payRemote jobAfternoon shift


Salary

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