Sr. Scientist I, Bioinformatics

$120,000 - $185,000/Yr

Scribe Therapeutics - Alameda, CA

Full-time - Mid Level

Alameda, CA

Professional, Scientific, and Technical Services

About the position

The Sr. Scientist I, Bioinformatics position at Scribe Therapeutics involves developing computational tools and pipelines to support CRISPR-based therapeutic advancements. The role requires collaboration with biologists and bioengineers to analyze multi-omics data and integrate systems biology approaches, ultimately contributing to the safety and efficacy of therapeutic programs. This position offers opportunities for professional growth and leadership within a dynamic biotechnology startup environment.

Responsibilities

• Collaborate closely with cross-functional teams to apply expertise in computational biology/bioinformatics.
• Create computational pipelines to analyze multi-omics data, including genomic and epigenomic information.
• Construct systems biology approaches to analyze integrative genomic and epigenomic datasets.
• Own the data workflow for lead therapeutic programs, contributing to experimental design and primary analysis.
• Use statistical methods and biological knowledge to generate new hypotheses and design experiments.
• Build out the internal computational platform for scalable analysis and integration with automation.
• Collaborate effectively within a fully integrated team to execute projects within established timelines.
• Foster a dynamic and rigorous scientific environment.

Requirements

• PhD with at least 5 years of experience in an academic or industry lab.
• Proven track record of developing computational algorithms and statistical analysis for genomic datasets.
• 5+ years experience in computational and statistical programming (python or R preferred).
• Experience with unix command line, bioinformatic toolkits, version control systems (e.g. git), and workflow management (e.g. nextflow).
• Strong quantitative reasoning, statistical analysis, and data visualization skills.
• Excellent written and verbal communication skills for collaboration between wet and dry scientific teams.
• Ability to work independently and collaboratively in a fast-paced, interdisciplinary research team.

Nice-to-haves

• Experience with CRISPR epigenetic editing systems and integrating multi-omic datasets.
• Familiarity with protein or RNA structure and engineering approaches.
• Experience deploying code in AWS cloud environment (EC2, S3, etc.).
• Experience writing production code in a team setting.

Benefits

• Comprehensive medical benefits
• Intellectually stimulating work environment
• Opportunities for professional growth and leadership
• Competitive salary based on experience
• Additional incentives as part of the complete package