Chan Zuckerberg Biohub Network
Computational Biologist, CRISPR Informatics (Biohub SF)
Chan Zuckerberg Biohub Network, San Francisco, California, United States, 94199
Overview
Join to apply for the
Computational Biologist, CRISPR Informatics (Biohub SF)
role at
Chan Zuckerberg Biohub Network . What You\'ll Do
Architect, build and maintain computation workflows for CRISPR design and edit-outcome analysis. Analyze genome-scale CRISPR perturbation datasets and identify emergent gene-function and pathway networks. Work with molecular biologists, imaging scientists, and software engineers to plan large scale CRISPR experiments and interpret results. Package, document and rigorously test code, computational pipelines and datasets for open-source release. Author publications and present research findings at conferences. What You\'ll Bring
Essential
Ph.D. in Computational Biology, Bioinformatics, Bioengineering, Genomics or a related discipline. Candidates with a master’s degree and 3 years of relevant experience will be considered. 2+ years of deep, current knowledge of CRISPR genome-engineering technologies (e.g. CRISPRi/a, base/prime editing, CRISPR-based imaging) and the underlying molecular biology. Proven track record of developing computational pipelines for CRISPR design and edit-outcome analysis. Fluency in Python (or similar), experience with workflow management frameworks (e.g., Nextflow, Snakemake), and strong software engineering practices including testing, continuous integration, documentation, and version control. A collaborative, team-focused mindset coupled with outstanding communication skills. Nice to have
Experience in analyzing CRISPR perturbations datasets at single cell resolution (e.g. perturb-seq). Experience in designing, optimizing and executing bioinformatics pipelines for amplicon sequencing, whole-genome sequencing and genome variant analyses. Experience in utilizing high-performance computing systems for large-scale data processing and analysis. Prior contributions to open-source projects or data resources. Compensation
The San Francisco, CA base pay range for a new hire in this role is Computational Biologist I = $108,000.00 - $149,000.00 and Computational Biologist II = $132,000.00 - $182,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits
Provides a generous employer match on employee 401(k) contributions to support planning for the future. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
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Join to apply for the
Computational Biologist, CRISPR Informatics (Biohub SF)
role at
Chan Zuckerberg Biohub Network . What You\'ll Do
Architect, build and maintain computation workflows for CRISPR design and edit-outcome analysis. Analyze genome-scale CRISPR perturbation datasets and identify emergent gene-function and pathway networks. Work with molecular biologists, imaging scientists, and software engineers to plan large scale CRISPR experiments and interpret results. Package, document and rigorously test code, computational pipelines and datasets for open-source release. Author publications and present research findings at conferences. What You\'ll Bring
Essential
Ph.D. in Computational Biology, Bioinformatics, Bioengineering, Genomics or a related discipline. Candidates with a master’s degree and 3 years of relevant experience will be considered. 2+ years of deep, current knowledge of CRISPR genome-engineering technologies (e.g. CRISPRi/a, base/prime editing, CRISPR-based imaging) and the underlying molecular biology. Proven track record of developing computational pipelines for CRISPR design and edit-outcome analysis. Fluency in Python (or similar), experience with workflow management frameworks (e.g., Nextflow, Snakemake), and strong software engineering practices including testing, continuous integration, documentation, and version control. A collaborative, team-focused mindset coupled with outstanding communication skills. Nice to have
Experience in analyzing CRISPR perturbations datasets at single cell resolution (e.g. perturb-seq). Experience in designing, optimizing and executing bioinformatics pipelines for amplicon sequencing, whole-genome sequencing and genome variant analyses. Experience in utilizing high-performance computing systems for large-scale data processing and analysis. Prior contributions to open-source projects or data resources. Compensation
The San Francisco, CA base pay range for a new hire in this role is Computational Biologist I = $108,000.00 - $149,000.00 and Computational Biologist II = $132,000.00 - $182,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits
Provides a generous employer match on employee 401(k) contributions to support planning for the future. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
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