Genomics Data Scientist (Contract) for Gene-Editing Safety

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

Job summary

Preventive in San Francisco seeks a ComputationAl Biologist contractor/consultant to design and implement computational pipelines analyzing genomic and high-dimensional data related to gene-editing safety. The role collaborates with experimental scientists and clinical researchers on-site at our San Francisco facility.

You will develop statistical models, perform quality control, integrate multi-omics, and translate results into clear reports and presentations for internal stakeholders.

Qualifications

• Strong quantitative skills in statistics and data analysis.
• Experience in data science workflows and large-scale data.
• Expertise in bioinformatics, including genomic data processing and variant analysis.
• Proven research experience and scientific communication.
• Proficiency in Python and R; familiarity with computational biology libraries.
• Advanced degree preferred or equivalent experience.
• Experience with gene-editing or high-throughput technologies is a plus.
• Ability to collaborate across disciplines and uphold ethical standards in research.

Responsibilities

• Design and implement computational pipelines for genomic data.
• Develop and validate statistical models for gene-editing safety.
• Perform data quality control and integrate multi-omic datasets.
• Interpret results in the context of disease prevention.
• Prepare reports, visualizations, and presentations for stakeholders.
• Contribute to research publications and methods documentation.
• Stay current with literature and tools to strengthen research.

Skills

Statistics & Data Analysis

Data Science

Bioinformatics

Scientific Communication

Python

R

Education

MS or PhD in Computational Biology

Job description

Preventive in San Francisco seeks a ComputationAl Biologist contractor/consultant to design and implement computational pipelines analyzing genomic and high-dimensional data related to gene-editing safety. The role collaborates with experimental scientists and clinical researchers on-site at our San Francisco facility.

You will develop statistical models, perform quality control, integrate multi-omics, and translate results into clear reports and presentations for internal stakeholders.