Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
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 Baranzini lab at UCSF is seeking a bioinformatician with expertise in biological and medical databases and an interest in performing cutting-edge research towards advancing precision medicine. Dr. Baranzini (http://baranzinilab.ucsf.edu) is a faculty member in the Department of Neurology (http://neurology.ucsf.edu), the Institute for Human Genetics (http://humangenetics.ucsf.edu), and is affiliated with the graduate Program in Biomedical Informatics (http://humangenetics.ucsf.edu), the Bakar Institute for Computational Health Sciences (http://bakarinstitute.ucsf.edu) and the UCSF Precision Medicine Initiative (http://precisionmedicine.ucsf.edu).
The successful candidate will work as apart of a collaborative team of basic scientists, medical doctors, and bioinformaticians to continue development of a knowledge network encompassing various aspects of publically available biomedical data. The ultimate goal of this project is to help doctors make more informed, and evidence based decisions on individual patients as they come to the various clinics. In addition, this project will be the foundation of several collaborations to help develop more effective therapies.
This position offers opportunities for training and research in several areas including computational biosciences, genetics, pharmacology, and medicine.
A Masters or bachelor degree in biology, computer science or related field with demonstrated proficiency in one or more computer programming languages (i.e., SQL, Python, R, Perl, C/C++, etc.) and different platforms (i.e., Linux, MacOS, etc.), ability to work well with others, and strong communication and writing skills are required.
A clear understanding and first hand knowledge of public biological and medical databases (e.g. UMLS, MeSH, ENTREZ, Drugbank, etc), ontologies (e.g. NCBO, OBO foundry, etc.) and other similar resources will be considered a definite plus. Familiarity with graph theory or social network analysis is also a significant plus.
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.
The Baranzini Lab is committed to increasing diversity in the sciences. Applications from women and minorities are encouraged.
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