JobsData AnalystSan FranciscoResearch Data Analyst

UCSF

Posted 3 days ago · Jobs at UCSF

Research Data Analyst

UCSF · San Francisco, California, United States

Full-timeHybrid · 3 days in office2-5 yrsListed as no visa sponsorship
APPLY ON UCSF'S CAREERS SITE ↗

Opens the employer's own application page.

In short

The Research Data Analyst will develop and evaluate algorithms for interpreting continuous bedside monitoring data and integrate clinical information from electronic medical records. They will collaborate with faculty and staff to facilitate research projects and contribute to the design of data and computing infrastructure.

What they're looking for

MUST-HAVE SKILLS

PythonJavaC++Time-series data analysisSignal processingBiomedical informaticsClinical informaticsData science

ALSO MENTIONED

Research Data AnalystBiosignal ResearchSignal ProcessingTime-series AnalysisClinical InformaticsBiomedical InformaticsPythonJavaC++Data Science

Candidates must have a Bachelor's degree in a related field with at least two years of experience, including proficiency in Python, Java, or C++. Required experience includes time-series data analysis, signal processing, and data science methodologies.

About UCSF

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Questions about this role

Is this UCSF role remote?
Tagged hybrid · 3 days in office.
Does it sponsor visas?
Listed as no visa sponsorship.
What experience does it ask for?
Listed as 2-5 years.

The posting, in full

The Research Data Analyst 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

▶ READ THE FULL POSTING
  • The Research Data Analyst 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.

QUALIFICATIONS

  • 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

  • Preferred Qualifications
  • 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

About UCSF

  • 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.

Pride Values

  • 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
  • [https://www.ucsf.edu/about/mission-and-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
  • [https://diversity.ucsf.edu/].
  • Join us to find a rewarding career contributing to improving healthcare
  • worldwide.

Equal Employment Opportunity

  • The University of California is an Equal Opportunity Employer. All qualified
  • applicants will receive consideration for employment without regard to race,
  • color, religion, sex, sexual orientation, gender identity, national origin,
  • disability, age, protected veteran status, or other protected status under state
  • or federal law.

Salary Information

  • 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 at UCSF. For positions that are represented by a labor union,
  • placement within the salary range will be guided by the rules in the collective
  • bargaining agreement.

To learn more about the benefits of working at UCSF, including total

compensation, please visit

https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

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This listing comes from UCSF's own careers site. Apply links go to the employer. Last checked 4 Oct 2026.