Senior Bioinformatics Programmer – HIV Genomics & HPC

University of California - San Francisco; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

University of California, San Francisco invites applications for a Bioinformatics Programmer 3 to join Dr. Lee's research group.

The role focuses on designing and implementing data analysis methods for host genomewide, single-cell sequencing, and HIV-related datasets, leveraging UCSF's HPC resources. The candidate will lead complex analyses, mentor trainees, and collaborate with interdisciplinary teams across clinical and laboratory settings while advancing translational infectious disease

Qualifications

• Thorough knowledge of bioinformatics methods, applications programming, web development and data structures.
• Advanced knowledge of HPC / data science / CI.
• 3+ years of directly relevant programming experience.

Responsibilities

• Applies complex bioinformatics concepts to design, develop, modify, debug, and evaluate software programs, systems, and web tools.
• Plans, designs, develops, modifies, debugs, deploys and evaluates complex HPC software and/or hardware, data science or computational science, CI software for genomic and immunologic datasets.
• Develops, implements, and executes complex analytical software and hardware research and development plans.
• Performs complex data modeling, performance and integration testing, and builds user interfaces for internal and external constituents.

Skills

Bioinformatics

HPC

CI

Programming

Education

Bachelor's degree in biological science / computational / programming

Master's degree in Bioinformatics/ Systems Biology/ Math/ Statistics/ Computer / Computational / Data Science

PhD preferred

Tools

R

Python

SQL

Job description

University of California, San Francisco invites applications for a Bioinformatics Programmer 3 to join Dr. Lee's research group.

The role focuses on designing and implementing data analysis methods for host genomewide, single-cell sequencing, and HIV-related datasets, leveraging UCSF's HPC resources. The candidate will lead complex analyses, mentor trainees, and collaborate with interdisciplinary teams across clinical and laboratory settings while advancing translational infectious disease