Contractor: Computational Biologist for Gene-Editing Safety

Preventive; South San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Preventive seeks a Computational Biologist contractor to develop rigorous analysis pipelines for embryonic gene editing safety assessments. You will work with wet-lab scientists on QC, design, and interpretation of diverse genomic data, including single-cell and low-input studies, focusing on distinguishing biology from artifacts.

You will implement end-to-end analyses, characterize off-target effects, and build reproducible workflows on cloud infrastructure, ensuring traceable data and

Qualifications

• 4+ years of computational biology, bioinformatics, or genomics experience.
• Experience building robust, reproducible bioinformatics pipelines on cloud infrastructure (AWS, GCP, or similar).
• Fluency in R and/or Python.
• Experience with genomic variant analysis (SNVs/indels, SVs, CNVs) in low-input or mosaic contexts.
• Experience analyzing low-input and/or single-cell datasets with appropriate QC and normalization.

Responsibilities

• Computational analysis from raw reads through statistical analysis, visualization, interpretation, and reporting.
• Analyze plate-based single-cell and low-input datasets; establish QC criteria.
• Characterize gene-edited samples for off-target effects, including SNVs/indels, structural variation, CNVs, and mosaic variants.
• Collaborate with wet-lab scientists to define hypotheses, controls, replication strategies, and acceptance criteria.
• Build, test, document, and maintain reproducible workflows with version control and containerization.
• Develop quantitative benchmarks to compare assays, assess sensitivity, specificity, and uncertainty.
• Develop analyses to regulatory-grade standards with clear data provenance and transparent reporting.
• Strong communication to translate results into experimental design and decisions.
• Experience with end-to-end genomic safety assessment and regulatory considerations.

Skills

R

Python

Single-cell analysis

Genomics analysis

Statistical analysis

Data interpretation

Tools

AWS

GCP

Job description

Preventive seeks a Computational Biologist contractor to develop rigorous analysis pipelines for embryonic gene editing safety assessments. You will work with wet-lab scientists on QC, design, and interpretation of diverse genomic data, including single-cell and low-input studies, focusing on distinguishing biology from artifacts.

You will implement end-to-end analyses, characterize off-target effects, and build reproducible workflows on cloud infrastructure, ensuring traceable data and