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Bioinformatics Specialist

Recruitment Period

Open date: February 24th, 2017
Last review date: September 14th, 2017
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: August 24th, 2018
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.


Bioinformatics Specialist

The Quantitative Biosciences Institute (QBI) at UCSF seeks a Bioinformatics Specialist for its Proteomics Core facility. The candidate will be responsible for collaborating with researchers and participating in the experimental and statistical design of projects, and in the biological interpretation of the resulting data.

The candidate will be responsible for applying the appropriate algorithms, computational and modeling techniques and statistical methodologies to analyze and visualize data primarily generated through high-throughput proteomics experiments. The candidate is expected to create effective proteomics databases and to develop/maintain web-based tools for disseminating information to collaborators. The candidate will also have the opportunity to develop novel pipelines for analyzing and interpreting proteomics data, and integrating it with other types of data.

Required qualifications:
PhD in bioinformatics, statistics, mathematics, computer science or a related discipline together with relevant research experience in generalized and/or linear mixed models, machine learning algorithms, experimental design, general statistical, and other commonly applied techniques in statistical omics data analysis.

Preferred qualifications:
Understanding of large-scale proteomics data and placing it in a biological context, as well as experience working with other omics data such as transcriptomics, genomics, lipidomics, and metabolomics.

Strong computational skills and prior experience with Unix/Linux and Windows environments, as well as programming, creating applications and packages in R.
Skill in relational database design, implementation, optimization, and storage procedures.

Experience with programming language preferred such as C/C++, Java, Python, and .NET, and familiarity with data visualization tools and in GUI development.

Ability to develop web sites and set up effective sharing of data and analysis tools.

Team player able to work in large collaborative projects.

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.

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Job location

San Francisco, CA




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