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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 well being of all people through medical research, education, and outreach in the areas of heart disease, HIV/AIDS, and neurological disease. Gladstone Bioinformatics hosts a convergence zone of cutting edge research, omics analytics, biostatistics and technology development, and is one of the primary centers for the National Resource for Network Biology, an NIH-sponsored resource for broadly distributed network biology software and methods. We are located in an award winning building adjacent to UCSF's Mission Bay Campus.
We are seeking a talented Bioinformatician or Statistician to join the dynamic bioinformatics team here at Gladstone Institutes. You will be providing bioinformatics and statistical support to the world-class biomedical research conducted in labs at Gladstone Institutes, UCSF, and beyond. Working closely with experimental scientists, you will lead end-to-end studies from hypotheses and experimental design, to analysis plans, implementation and pipelining, to methods assessment and result reporting or publication. You will be working with a variety of data types generated by various platforms and technologies (eg, Bulk RNA-seq and DNA-seq, Single-cell sequencing, ChIP-seq, ATAC-seq, metagenomics, CRISPR screens, Mass spectrometry, and others). You will also have opportunities for methods development, technical writing for grant applications and manuscripts, and training.
PhD with 3+ years of working experience in Bioinformatics/Statistics (or similar fields). At least four years of experience with analysis of large biological datasets using R, Python, Perl or equivalent is required. Statistical genetics experience or NGS experience is strongly preferred. Prior consulting or industrial experience supporting research is a plus. The successful candidate will have a strong background in statistical analysis, experimental design, and quantitative analysis of biological systems, as well as a demonstrated ability to communicate and work effectively with all types and levels of internal and external collaborators.
Salary: Based on experience.
Start Date: March 2017 preferred.
Application Instructions:
Please submit the following:
CV
Cover letter (optional)
Contact info for 3 references (can be submitted later)
Apply Here
PI97983334
We are seeking a talented Bioinformatician or Statistician to join the dynamic bioinformatics team here at Gladstone Institutes. You will be providing bioinformatics and statistical support to the world-class biomedical research conducted in labs at Gladstone Institutes, UCSF, and beyond. Working closely with experimental scientists, you will lead end-to-end studies from hypotheses and experimental design, to analysis plans, implementation and pipelining, to methods assessment and result reporting or publication. You will be working with a variety of data types generated by various platforms and technologies (eg, Bulk RNA-seq and DNA-seq, Single-cell sequencing, ChIP-seq, ATAC-seq, metagenomics, CRISPR screens, Mass spectrometry, and others). You will also have opportunities for methods development, technical writing for grant applications and manuscripts, and training.
PhD with 3+ years of working experience in Bioinformatics/Statistics (or similar fields). At least four years of experience with analysis of large biological datasets using R, Python, Perl or equivalent is required. Statistical genetics experience or NGS experience is strongly preferred. Prior consulting or industrial experience supporting research is a plus. The successful candidate will have a strong background in statistical analysis, experimental design, and quantitative analysis of biological systems, as well as a demonstrated ability to communicate and work effectively with all types and levels of internal and external collaborators.
Salary: Based on experience.
Start Date: March 2017 preferred.
Application Instructions:
Please submit the following:
CV
Cover letter (optional)
Contact info for 3 references (can be submitted later)
Apply Here
PI97983334
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