Research Data Analyst

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 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.

Required Qualifications

• 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+ years of experience with signal processing methods and/or biomedical/clinical informatics
• 2+ years of experience with data science, including statistical analysis, data transformations, and visualization
• Advanced ability to communicate complex information in a clear and concise manner both verbally and in writing

• Advanced degree in related field
• Knowledge of HPC/cluster computing
• Experience with clinical data
• Track record of peer-reviewed research publications
• Experience with software engineering best practices
• Experience with SQL and/or noSQL databases

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health.

We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values .

In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here .

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