Skip to main content

Biostatician/ bioinformatician (for Assistant or Associate Specialist)

Recruitment Period

Open date: October 24th, 2018

Last review date: Thursday, Jan 31, 2019 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: Friday, Apr 24, 2020 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.


Biostatician/ bioinformatician (for Assistant or Associate Specialist)

To support statistical and bioinformatics aspect of translational research.

Education and training: The position requires a MS (or equivalent degree) in statistics/biostatistics. Work experience in the development of bioinformatics and biostatistics methods on biomarker discovery is a plus.

Skills: The position requires at least two years of translational bioinformatics research in an academic/or biotech setting. Strong experience and proficiency with:
(1) statistical methods, including principal component analysis, survival analysis, multivariate, time series trend analysis, ANOVA, and sample size power analysis
(2) understanding and expertise on database management systems, such as MySQL
(3) programming languages, such as PERL or Python
(4) machine learning methodologies, such as Random Forest, SVM, Logistic regression, nested loop cross validation, discriminant analysis
(5) statistical software, such as R and SAS

Job description: The employee will assist in developing methods to analyze and integrate various types of high-throughput molecular measurements including genetic, genomic, transcriptomic, proteomic, antibodiomic, miRNA, metabolomic, and clinical data. The employee of this position will be responsible to perform various statistical analyses of the “omic” data that has been generated in the lab as well as publicly available data.

Applicants must submit a CV, cover letter, and statement of research. Please apply online and submit these documents along with the contact information for three references to:

UC San Francisco seeks candidates whose experience, teaching, research, or community service that 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)

  • Misc / Additional (Optional)

Reference requirements
  • 3 required (contact information only)