The von Büdingen Lab in the Multiple Sclerosis Group at UCSF is seeking an enthusiastic Computational Biologist Postdoc/Scientist to contribute to exciting and challenging analyses of large immunoglobulin and T cell receptor sequence datasets obtained by deep immune repertoire/next generation sequencing. We are interested in the evolution and dynamics of immune repertoires in multiple sclerosis and related disorders with the goal to identify novel biomarkers and potential therapeutic targets.
The ideal candidate is a highly creative and motivated individual ready to tackle disease-relevant complex analyses of immune repertoires in a multi-disciplinary, fast-paced, and exciting environment. A background in protein evolution and evolution of immune repertoires is a plus but not a requirement. Expertise with bioinformatics tools (i.e. BLAST, PhyML), familiarity with UNIX/LINUX based computational systems and tools (i.e. Python, R) and mySQL administration, and interest in algorithm development for analysis pipelines is expected.
We’re looking for a true team player with excellent written and verbal communication skills. Candidates should include an updated CV, complete contact information for three references, a cover letter describing past research experience, career goals and potential future research interests, and current visa status.
For any questions, or to apply, please email: Hans-Christian.vonBuedingen@ucsf.edu