Department : Wake Forest University Health Sciences - Cardiology : Adult
Status : Full time
Benefits Eligible : Yes
Hours Per Week : 40
Schedule Details / Additional Information : Variable
JOB DESCRIPTION
The ideal candidate will have a B.S., MS, or PhD in statistics, computer science, or applied mathematics with excellent computational skills in Python. Prior experience with machine learning and deep learning is required, with applications in medicine considered a plus. Skills in signal processing and image processing are essential. Experience with mobile app development is a significant plus, but not mandatory.
The candidate will support the PI and lab team in all data analysis stages, including data acquisition, manipulation, analysis, reporting, and manuscript writing.
Pay Range : $22.50 - $33.75
Our Commitment to You :
Advocate Health offers comprehensive Total Rewards, including benefits, well-being programs, competitive pay, retirement options, and career development opportunities to support your full life both at and away from work.
Compensation :
Benefits and More :
About Advocate Health :
Advocate Health is the third-largest nonprofit, integrated health system in the U.S., formed from the merger of Advocate Aurora Health and Atrium Health. It operates under various names across states and is a leader in clinical innovation and health outcomes. Headquartered in Charlotte, NC, it serves nearly 6 million patients, engages in extensive research, and collaborates with Wake Forest University School of Medicine. Advocate Health employs 155,000 teammates across numerous hospitals and care locations, offering extensive graduate medical education programs. The organization is committed to equitable care and community benefits exceeding $6 billion annually.
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Research Scholar • Ardmore, NC, United States