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Recruitment Period

Open date: April 13th, 2018
Last review date: Sunday, May 13, 2018 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Saturday, Oct 12, 2019 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


The Brain Tumor Center and The Institute for Computational Health Science at UCSF is internationally recognized for its expansive research program. The position will fall within the Division of Biomedical Statistics and Informatics within the Department of Neurosurgery – to work closely with data scientists in the ICHS and neuropathologists. We have recently launched a new program to identify novel approaches to personalized GBM therapy. We are recruiting an accomplished Data Scientist key contributor to aggregate clinical and genomic data and populate a searchable database for GBM patient care. The incumbent will have a demonstrated background in bioinformatics working closely with clinicians, biologists, statisticians, and other translational researchers.

• Maintain up-to-date list of national and international clinical trials, with an emphasis on targeted therapies.
• Aggregate UCSF500 gene panel data and other genomic tests from GBM patients.
• Performs and maintain a comprehensive literature search of published genomic-based data for GBM
• Aggregate existing genomic databases (government, academic, and industry)
• Generate a data-sharing proposal
• Identify candidate off-label therapies beyond the standard of care

Required Qualifications:
• Masters or M.D. or Ph.D. in bioinformatics, medical-related biology, statistics or computer-science or in relevant field.
• Demonstrated experience in database data integration, data capture an application of advanced data analytics, including data mining and visualization.
• Strong written and verbal communication skills.
• Experience with TCGA, GTEX, TARGET and other large data sets.
• Demonstrated background using genomic signatures to analyze patient and animal data.
• Working knowledge of cancer biology, cancer immunology, cancer therapy, and clinical trials.
• Familiar with R programming

Desired Qualifications:
• Publications in glioblastoma or other brain cancers.
• Experience with differential gene analysis, GSEA and similar tools.

The incumbent will work closely with Brain Tumor Center investigators and data scientists at the Institute for Computational Health Sciences to conceptualize, design, and develop analytic solutions connecting patient data with high dimensional, complex genomic data. The incumbent must demonstrate understanding of genomic database design and structure. Experience with applications backed by data-intensive infrastructure and statistical applications preferred.

Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Salary and rank will be commensurate with the applicants experience and training. Please apply online at

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

Job location

San Francisco, CA


Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Statement of Research

  • Statement of Teaching (Optional)

  • Statement of Contributions to Diversity (Optional)

  • List of Key Publications