Lead Bioinformatics Programmer – HIV & Single-Cell Genomics

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

Job summary

University of California, San Francisco (UCSF) is seeking a Bioinformatics Programmer 3 to lead computational analyses for HIV-related infectious disease research. You will work with a multidisciplinary team, handle genomewide and single-cell datasets, and contribute to study design and data interpretation.

The role requires strong programming skills, HPC experience, and the ability to work independently and collaboratively in a fast-paced research environment in San Francisco.

Qualifications

• Thorough knowledge of bioinformatics methods, applications programming, web development and data structures.
• Advanced knowledge of HPC / data science / CI.
• 2-3 years demonstrated experience in bioinformatics, computer science, mathematics, bioinformatics, computational biology, physics, or statistical genetics.

Responsibilities

• Lead complex analyses applying novel computational methods on multidisciplinary projects.
• Design and implement data analysis methods for host genomewide, single cell sequencing, and pathogen assays.
• Mentor trainees and manage access to and usage of UCSF HPC resources.

Skills

Bioinformatics

HPC / Data science

Programming languages (R, Python, C/C\

Education

Bachelor's degree in biological science or related field

Master's degree in Bioinformatics/Computational/Data Science

Tools

PLINK

R

Python

Job description

University of California, San Francisco (UCSF) is seeking a Bioinformatics Programmer 3 to lead computational analyses for HIV-related infectious disease research. You will work with a multidisciplinary team, handle genomewide and single-cell datasets, and contribute to study design and data interpretation.

The role requires strong programming skills, HPC experience, and the ability to work independently and collaboratively in a fast-paced research environment in San Francisco.