Research Data Analyst

Research Data Analyst

MED-CORE-CARD

Full Time

87346

The Research Data Analyst will work under the direction of Co-Directors of the Center for Biosignal Research (C ) and report directly to the C  Scientific Program Manager. The C  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 C  staff and faculty investigators to facilitate multiple research projects and C  efforts.

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification  positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

The salary range for this position is $90,700 - $193,500 (Annual Rate).

To learn more about the benefits of working at UCSF, including total compensation, please visit: (Use the "Apply for this Job" box below)..html

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) hin 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;
Cardio Oncology 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.

The Division has 90+ full-time faculty, over a dozen non-faculty academics, approximately 36 clinical fellows, several post-doctoral research fellows, and over 70 research support and administrative staff. While the Division is primarily split between the Parnassus and Mission Bay campuses, fellows have rotations at the Zuckerberg San Francisco General Hospital and the San Francisco Veterans Affairs Medical Center.

• BS in related field and 2+ years of experience, or equivalent experience / training
• Thorough knowledge of at least one of Python, Java, C++, or related
• 1+ years of experience with time-series data analysis
• 1+…