Research Data Scientist
 University of California - San Francisco | |||||||||||||||||||||||||||||||||||||||||||
101,300-216,700
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 United States, California, San Francisco | |||||||||||||||||||||||||||||||||||||||||||
| 555 Mission Bay Boulevard South (Show on map) | |||||||||||||||||||||||||||||||||||||||||||
 May 12, 2026 | |||||||||||||||||||||||||||||||||||||||||||
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The Research Data Scientist will work under the direction of Co-Directors of the Center for Biosignal Research (CBR) and report directly to the CBR Scientific Program Manager. The CBR at UCSF focuses on the study and clinical use of biosignals, or signals that can be continuously measured and monitored from the human body. Our areas of research broadly focus on improving biosignal analysis through signal processing and advanced algorithms, identifying predictors of adverse outcomes, using biosignals to improve physiologic understanding and leveraging these insights to improve patient care and reduce false alarms in bedside monitoring. The ideal candidate will leverage their experience with complex data analysis, in particular time-series data analysis, biomedical/clinical informatics, and/or signal processing, to develop and evaluate algorithms to interpret continuous bedside monitoring data, integrating additional clinical data such as electronic medical records when appropriate. Prior experience with clinical or biosignal data is preferred but not required. Example projects include the development of algorithms to improve alerting systems for clinically significant arrhythmias and other events, using monitoring data to predict patient trajectories within specific disease cohorts, or assessing the impact of changing alerting mechanisms on overall alarm burden in retrospective data. There are also opportunities to contribute to the design and implementation of the data and computing infrastructure that underlie these efforts. The incumbent will work independently and in collaboration with CBR staff and faculty investigators to facilitate multiple research projects and CBR efforts. Department: The Division of Cardiology, in which the Center for Biosignal Research is based, is one of the largest clinical, research and training divisions of the Department of Medicine (DOM) at UCSF. Within the Division are sub-specialty sections for: Adult Congenital Heart Disease; Advanced Heart Failure, Transplant, and Pulmonary Hypertension; Cardiac Electrophysiology; Critical Care Cardiology; Echocardiography and Cardiac Imaging; General Cardiology, Interventional Cardiology; CardioOncology and Immunology; and Prevention. The Division runs several clinical practices in multiple sites, conducts basic and clinical research, and educates medical students, residents, clinical fellows and postdoctoral scholars through ACGME as well as non-ACGME training programs. In addition, the Division has significant and complex financial and administrative relationships with the Department of Medicine (DOM) and the UCSF Medical Center, as well as large patient care programs in the sections noted above, large clinical, Federal, and privately supported research programs and six faculty laboratories. DUTIES & ESSENTIAL JOB FUNCTIONS Identify the functions or tasks that employees in the job perform. The essential functions should state the purpose of the work and the results to be accomplished, rather than how the function is performed. Of the tasks listed, what percentage of time is devoted to each? The more time employees spend on a function, the more likely it is that the function is essential. Generally, include those functions that account for 10% or more of the work, i.e., key items that contribute significantly to the achievement of the job. The functions should add up to 100%.
Required Qualifications:
Preferred Qualifications:
Required Qualifications:
Preferred Qualifications:
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