The Ye lab at the Institute for Human Genetics, CoLabs and the Baker ImmunoX at UCSF is seeking a highly motived computational biologist (bioinformatics specialist) with backgrounds in computational biology, computer science or other related areas. The individual will have a unique opportunity to work with the Ye lab and two recently established initiatives at UCSF: CoLabs and ImmunoX to support the computational analysis of the Human Immune Census. The Human Immune Census aims to be the largest and most comprehensive catalog of single cell genomic data collected from > 1000 healthy donors. The qualified candidate will work closely with an interdisciplinary team of computational biologists, geneticists, and computer scientists to characterize the natural variability in immune response and map the genetic and environmental drivers of that diversity.
A qualified candidate is expected to carry out independent analysis of large-scale genomic datasets generated from next-generation sequencing. The individual will work with graduate students, postdoc fellows and other scientists to develop and apply novel computational methods and pipelines to analyze complex genomic, transcriptomic and proteomic data. Finally, the candidate is expected to contribute to the deployment of analyses pipelines on local and cloud compute platforms including AWS.
• Specialists appointed at the Associate rank must possesses a Master’s in bioinformatics, computational biology, computer science or related discipline. Specialists appointed at the Full rank must possesses a PhD in bioinformatics, computational biology, computer science or related discipline.
• Minimum two years of experience in bioinformatics/programming.
• Strong background in computational methods development and application.
• Advanced knowledge of algorithms, data science, and statistics.
• Knowledge of genomics and immunology is a plus.
• Experience coding in C/C++, perl, python and/or R.
• Experience with NGS analysis pipelines (e.g. alignment, variant calling and genome annotation)
• Experience working in the cloud or on local compute clusters.
• Experience with code, data and analysis management including github and jupyter.
• Strong verbal and written communication skills.
• Able to work independently and collaboratively as a member of an interdisciplinary team.
• Ability to multitasking and tracking 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.
Please apply online at https://aprecruit.ucsf.edu/apply/JPF02384
Internal Number: JPF02384
About University of California, San Francisco
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.