-- Andrej Sali, Ph.D. Professor, Department of Bioengineering and Therapeutic Sciences Department of Pharmaceutical Chemistry California Institute for Quantitative Biosciences University of California, San Francisco UCSF MC 2552 Byers Hall Room 503B 1700 4th Street San Francisco, CA 94158-2330, USA Tel +1 (415) 514-4227; Fax +1 (415) 514-4231 Assistant: Ms. Hilary Mahon, hilary@salilab.org, Tel +1 (415)514-4228; Lab +1 (415) 514-4233, 4258 Email sali@salilab.org; Web http://salilab.org Begin forwarded message:
From: Christina Chaivorapol <chaivorapol.christina@gene.com> Subject: Open Genentech internship position in the Bioinformatics & Computational Biology Department Date: January 16, 2013 6:31:33 AM GMT+01:00 To: sali@salilab.org
Hi Andrej,
Happy New Year. I hope you are doing well. I am looking for a computational biology intern. Could you please circulate the following internship position at UCSF to graduate students who may be interested in a computational biology internship at Genentech?
Thanks, Christina
Opening for a Genentech internship position in the Bioinformatics & Computational Biology department ---------------------------------- An internship at Genentech is a great way to get exposure to scientific research in an industry setting and meet industry folks from various departments at Genentech.
The intern will focus on analyzing a large-scale sequencing data set in patients with lupus (an autoimmune disease that affects millions of people worldwide). The primary goals are to: 1) compile a database of public non-coding RNAs from various sources 2) explore existing R statistical methods and/or develop statistical methods to query differential expression of non-coding RNAs 3) apply the database and the appropriate statistical methods to analyze differences in expression of non-coding RNAs across various subsets to further understand disease pathogenesis 4) use (if time permits) public and in-house computational methods to understand function and pathways
Requirements: 1) Proficiency in high-level programming languages is essential (preferably in R), and a working knowledge of the UNIX operating system and version control systems (e.g. SVN) is desirable 2) Strong knowledge of biology required, immunology a plus 3) Experience with next generation sequencing data is preferred 4) Ph.D. candidate in Computational Biology, Bioinformatics, or related field
All interested candidates should send their CV to chrichai@gene.com. -- Christina Chaivorapol, Ph.D. Genentech, Inc. Bioinformatics & Computational Biology phone: 650-225-6903 chrichai@gene.com