Overview: The Gladstone Institutes is an independent, not-for-profit research organization affiliated with the University of California San Francisco (UCSF), contributing to the health and wellbeing of all people through medical research, education, and outreach in the areas of heart disease, HIV/AIDS, and neurological disease. Gladstone Bioinformatics as part of the Institute of Data Science and Biotechnology hosts a convergence zone of cutting-edge research, omics analytics, biostatistics and technology development, and is one of the primary centers for the NIH-sponsored National Resource for Network Biology. We are located in an award-winning building adjacent to UCSF's vibrant and active Mission Bay Campus. In addition to daily seminars and learning opportunities, our campus includes a gym, biotechnology corridor, food truck park, etc. Flexible telecommuting options are available for this position.
Description: We are seeking a talented Bioinformatician to join the dynamic Bioinformatics Core team here at Gladstone Institutes. You will be providing bioinformatics and computational support to world-class biomedical research conducted in labs at Gladstone Institutes, UCSF, and beyond. Working closely with experimental scientists, you will collaborate on end-to-end studies from hypotheses and experimental design, to analysis plans, implementation and pipelining, to methods assessment and publication. You will be working with a variety of data types generated by various platforms and technologies (e.g., genome sequencing, single cell RNA-seq, ChIP-seq, ATAC-seq, HiC, metagenomics, CRISPR screens, mass spectrometry, and others). You will have opportunities for teaching, authorship, methods development, and grant writing. There will also be ample opportunity to further develop your skills, specifically learning new computational, statistical, and network analysis techniques through mentorship by other team members.
Qualifications: MS or equivalent experience in Bioinformatics (or similar quantitative fields) preferred. Demonstrated experience with analysis of sequence data, large biological datasets using R, Python or equivalent is required. Prior consulting experience (in academia or industry) supporting research is a plus. The successful candidate will have a strong background in data analysis, analytical pipelines, and quantitative analysis of biological systems, as well as a demonstrated ability to communicate and work effectively with all types and background levels of collaborators.Additional Information:
- Title and salary will be commensurate with education and experience.
- Gladstone is an equal opportunity employer.