This position will remain open until a successful candidate has been identified.
UCSD Layoff from Career Appointment: Apply by 06/05/19 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 06/14/19. Eligible Special Selection clients should contact their Disability Counselor for assistance.
The mission of the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of cancer and other human diseases. Epigenomics is at the forefront of Precision Medicine. The epigenome, a term referring to the state of DNA methylation and the covalent modifications of histone proteins in a cell, plays a central role in regulating the functional output of the genome during development.
Changes in the epigenome that result from exposure to stress, pathogenic conditions and during aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The UCSD Center for Epigenomics will work with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research.
Under the direction of the Associate Director of Single Cell Genomics and direct supervision by senior bioinformaticians, the incumbent will help in implementing, running, customizing, and optimizing data analyses pipelines for single cell assays such as single cell RNA-seq and single cell ATAC-seq. The incumbent will help to perform integrative data analyses, and assist to prepare results for oral presentation, scientific publications, and grant applications.
A Bachelor's Degree in Bioinformatics, Computational Biology, or related area; and/or equivalent experience/training.
Demonstrated knowledge in genomics, biostatistics, molecular biology, and/or genetics.
Basic knowledge in analyzing next generation sequencing data.
Experience with single cell genomics data like single cell RNA-seq, single cell ATAC-seq or single cell DNA methylation data is a plus.
Proven knowledge in statistics and programming languages such as Python, Perl, and R.
Proficiency with relational databases and programming languages used in the development of web-based MIS systems is a plus (e.g. SQL Server, HTML).
Demonstrated knowledge of bioinformatics methods and data structures.
Strong project management skills. Excellent organizational, problem solving, and analytical skills, and attention to detail.
Employment is subject to a criminal background check.
Occasional holidays, weekends, evenings, nights, and on-call may be required.
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 8 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom - life is their laboratory. UC San Diego's rich academic portfolio includes six undergraduate colleges, five academic divisions and five graduate and professional schools. The university's award-winning scholars are experts at the forefront of their fields with an impressive track record for achieving scientific, medical and technological breakthroughs.