Bioinformatics Specialist: Womens Brain Health & Aging

University of California - San Francisco; San Francisco (CA); On-site; USD 64,000 - 195,000; Full time

Job summary

University of California - San Francisco (UCSF) seeks a Bioinformatician to join a multidisciplinary team studying women's health, brain aging, and Alzheimer's disease. The role involves designing, implementing, and analyzing high-dimensional data from human samples, in collaboration with biologists and neuroscientists.

The ideal candidate has a strong background in bioinformatics or computational biology and experience with RNA/DNA sequencing, epigenetics, and cloud-based resources.

Qualifications

• Assistant Specialist: Master's or bachelor’s in bioinformatics/computational biology or related field with 3+ years of research experience.
• Associate Specialist: Master’s or PhD or 5–10 years in the field.
• Full Specialist: PhD or equivalent with 10+ years in the field.
• Strong experience with pipeline development, bioinformatic tools, and programming in R or Python.
• Experience with cloud-based storage and service tools is essential.
• Applicants must display required qualifications by appointment time.

Responsibilities

• Design, implement, and analyze high-dimensional data from human samples (e.g., RNA/DNA sequencing; epigenetics; fragmentomics; single-nuclei RNA/ATAC).
• Collaborate with molecular biologists, neuropsychologists, and neuroscientists to model biological processes using rich datasets.

Skills

Pipeline development

Bioinformatic tools

R

Python

Cloud computing

Education

Master's degree in Bioinformatics

PhD in Bioinformatics

Tools

RNA sequencing

DNA sequencing

Job description

University of California - San Francisco (UCSF) seeks a Bioinformatician to join a multidisciplinary team studying women's health, brain aging, and Alzheimer's disease. The role involves designing, implementing, and analyzing high-dimensional data from human samples, in collaboration with biologists and neuroscientists.

The ideal candidate has a strong background in bioinformatics or computational biology and experience with RNA/DNA sequencing, epigenetics, and cloud-based resources.