Description:
The Jawaheer Lab at the UCSF Benioff Children’s Hospital Oakland Research Institute (www.chori.org) is interested in transcriptome and epigenetic changes that occur during pregnancy and how those can influence autoimmune disease. We are seeking a highly motivated and creative bioinformatics analyst to examine changes in coding and non-coding RNA patterns over time (based on RNA-seq data) in the context of human pregnancy and autoimmune disease. The successful applicant will perform original research in computational biology, assessing computational methods and developing/implementing analytical pipelines to infer underlying molecular mechanisms. He/She will be involved in the project management, data analysis and interpretation of results within the context of the biological problem being investigated, and will collaborate with other team members. The ideal candidate is expected to report the scientific results by writing scientific papers and effectively communicate with peers.
Qualifications:
Applicants must have a M.S. or higher degree in bioinformatics, computational biology, statistics, human genetics or related field, and a sound understanding of both biology and data science. Must be proficient in statistical and programming languages such as R and Python, and familiar with Linux and high performance computing. Preference will be given to candidates with prior experience in analyses of RNA-seq data, other omics data, co-expression analyses, and with a thorough understanding of biological systems. Strong problem solving abilities and excellent verbal and written communication skills are required.
To Apply:
Please email cover letter, curriculum vitae, and the names and contact info of three references to: Damini Jawaheer, Ph.D. (djawaheer[at]chori.org).
