Bioinformatics Programmer

Job Title

Bioinformatics Programmer 3

MED-CORE-NEPH-GEN

Full Time

87917

The Kidney Genetics, Genomics, and Advanced Models Laboratory at the UCSF Mission Bay campus is recruiting an individual with expertise in computational biology. The responsibilities include independent analysis of single cell and bulk genomics data (including CRISPR screens, kidney organoid models, and primary cell models), analysis of biobank-scale human genetics data to identify genotype-phenotype and gene-environment interactions, figure generation and writing for publications and grant proposals, and coordination and management of laboratory compute resources.

The candidate will report to Gabriel Loeb, MD, PhD, Principal Investigator of the Kidney Genetics, Genomics, and Advanced Models Laboratory. The final salary and offer components are subject to UC policy. Placement within the salary range depends on experience and internal equity; for represented positions, placement follows the collective bargaining agreement. Salary range: $101,300 - $216,700 (Annual). For benefits information, visit: (Use the "Apply for this Job" box below)..html

• Independent analysis of single cell and bulk genomics data including data from CRISPR screens, kidney organoid models, and primary cell models. Datasets include single cell and bulk RNA-seq, single cell and bulk ATAC-sequencing, ChiP-sequencing, and HiC.
• Analyze biobank-scale human genetics data to identify novel genotype-phenotype and gene-environment interactions.
• Generate figures and write for publications and grant proposals.
• Coordinate and manage laboratory compute resources.

• Bachelor's degree in Bioinformatics/Systems Biology/Math/Statistics/Computer/Computational/Data Science, or related domain with computer/computational/data specialization, or equivalent experience.
• 3+ years of directly relevant programming experience.
• Proficiency in at least one programming language used for single-cell analysis (e.g., R or Python), including use of established single-cell analysis frameworks.
• Thorough knowledge of bioinformatics methods, programming, web development and data structures.
• Ability to design and implement end-to-end single-cell analysis pipelines.
• Strong project management skills.
• Ability to generate publication-quality figures and clearly communicate analytical results in writing.
• Ability to work independently and collaboratively within a multidisciplinary team.
• Experience with normalization, integration, and statistical testing; ability to defend methodological choices.
• Ability to collaborate with experimentalists to shape data generation and interpret findings.
• Clear communication skills for both technical and non-technical audiences; ability to interface with management.
• Self-motivation, ability to work independently or as part of a team, and strong problem-solving skills.
• Knowledge of web, application, and data security concepts.

• PhD in Bioinformatics/Systems Biology/Math/Statistics/Computer/Computational/Data Science or related field; strong preference for experience in advanced single-cell sequencing and genome-wide association data analyses. Substantial experience with single-cell data integration, batch correction, and multi-modal analysis.
• Experience analyzing perturbation-based single-cell datasets (e.g., CRISPR or pooled screens).
• Experience with organoid or disease-model single-cell datasets.
• Familiarity with scalable/high-performance computing environments for large single-cell datasets.
• Experience with bulk genomics and human genetics data.

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through biomedical research, education, and patient care. We are home to five Nobel laureates and a premier academic environment for faculty and trainees in health sciences.

UCSF values professionalism, respect, integrity, diversity and excellence (PRIDE). UCSF is committed to equity, diversity, and building a welcoming, inclusive community. Additional information is available f.edu.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Campus:
San Francisco, CA;
Mission Bay (SF)

Job Category:
Clinical Systems / IT Professionals, Project Management, Technical & Technologist

Bargaining Unit:
Research and Public Service Professionals (RP)

Employee Class:
Career

Percentage: 100%

Work Style:
Fully On-Site

Location:

San Francisco, CA;
Campus:
Mission Bay (SF)

Shift: Days;
Shift Length: 8 Hours;
Additional Shift Details: M-F 8:00-17:00