Bioinformatician

Location
San Francisco, California, US
Posted
Apr 25, 2019
Ref
109493402
Required Education
Masters Degree/MBA
Position Type
Full time
Overview

The Gladstone Institutes is an independent, not-for-profit research institution affiliated with the University of California San Francisco (UCSF), contributing to the health and well-being of all people through medical research, education, and outreach in the areas of heart disease, HIV/AIDS, and neurological disease. Gladstone is composed of three separate institutes and approximately 400 employees. Our employees receive exceptional benefits. We are located in an award-winning building adjacent to UCSF's Mission Bay Campus. Gladstone has consistently ranked as one of the top places to work in academia in the United States.

Responsibilities

Provide bioinformatics and computational support to the world-class biomedical research conducted in labs at Gladstone Institutes, UCSF, and beyond. As part of the bioinformatics team, use expertise in whole genome analysis. Work closely with experimental scientists, lead end-to-end studies from hypotheses and experimental design, to analysis plans, implementation and pipelining, to methods assessment and result reporting or publication. Work with whole genome sequence data primarily, but may work with a variety of data types generated by various platforms and technologies (eg, Bulk RNA-seq, Single-cell sequencing, ChIP-seq, ATAC-seq, metagenomics, CRISPR screens, Mass spectrometry, and others). Leverage expertise and knowledge of state of the art sequencing tools and platforms, to variant calling, variant annotation, and sequence data manipulation. Utilize experience with family- based sequence analysis and pedigree analysis. Participate in methods development, technical writing for grant applications and manuscripts, travel for conferences, meeting presentation and further training to develop expertise and skill sets.

Requirements

Qualifications

PhD in Bioinformatics, Statistics, Computational Biology or related technical field. Alternatively, will accept Master's in Bioinformatics, Statistics, Computational Biology or related field and 4 years of experience in job offered or research/ bioinformatics related occupation.

PI109493402