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Bioinformatics Programmer

Job

University of California San Francisco

San Francisco, CA (In Person)

Full-Time

Posted 3 days ago (Updated 10 hours ago) • Actively hiring

Expires 7/4/2026

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Job Description

Bioinformatics Programmer University of California San Francisco - 4.1 San Francisco, CA Job Details Full-time 12 hours ago Qualifications Software issue identification Bioinformatics Computational research Data Integration (Data management) Software troubleshooting DNA sequencing Mid-level Maintaining data pipelines Medical research Scripting Organizational skills Technical research projects Software development Bioinformatics data analysis Communication skills Data analysis software Infectious disease research
Full Job Description Department Description:
T he Department of Neurology is currently the largest recipient of NIH awards among departments of neurology in US medical schools and has many notable senior faculty including nine members of the Institute of Medicine, six members of the American Academy of Arts and Sciences, three members of the National Academy of Sciences, and a Nobel laureate.
Job Summary:
Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives. A bright, hardworking individual with very strong communication and organizational skills is sought by the Department of Neurology, University of California at San Francisco, to serve as a staff bioinformatician providing support for ongoing research projects related to the analysis of phage immunoprecipitation, metagenomic, transcriptomic (bulk and single cell), and immune repertoire (bulk and single cell) sequencing data. We are seeking an individual with experience in data science, proteomics and open-source software tools and ability to write custom scripts for high throughput sequence mapping and alignment; download and upload of data and integration of data pipelines with public repositories; assisting in management of large genomics datasets as well as writing custom computational solutions when available tools are inadequate and/or if these are necessary to resolve bugs in existing software. Plus if individual possess knowledge of PhIP-Seq assay and antigen discovery in autoimmune and infectious diseases generally.