about 1 month ago
Oakland, CA, USAMid Level / Senior / Staff+
Base Salary
$160k - $230k/yr
Responsibilities
- Lead design and implementation of scalable NGS analysis pipelines supporting gene editing and protein engineering workflows.
- Develop clear, intuitive visualizations and reports to communicate sequencing results and biological insights.
- Manage cloud-based compute environments and data systems for large-scale datasets.
- Partner with biology teams to analyze results, troubleshoot, and optimize experimental design.
- Collaborate with machine learning teams to curate data for model training.
- Establish best practices for code review, testing, and CI/CD in computational workflows.
- Mentor junior scientists and foster a culture of rigor, reproducibility, and innovation.
Requirements
- PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
- 5+ years of experience analyzing NGS datasets.
- Strong programming skills in Python (pandas, numpy, biopython, etc.).
- Expertise with workflow orchestration tools (Nextflow, Snakemake) and cloud environments (GCP, AWS).
- Experience with containerization (Docker, Kubernetes) and scalable compute infrastructure.
- Deep understanding of Linux, git-based version control, and software engineering best practices.
- Proven ability to transform complex sequencing data into actionable biological insights.
Benefits
- High-growth opportunity with meaningful impact on the future of protein design.
- Competitive compensation package with equity participation.
- 401(k) with a strong employer match.
- Comprehensive benefits including health/dental/vision insurance.
- Generous PTO policy and commitment to work-life balance.
- Professional development opportunities in a cutting-edge field at the intersection of AI and biology.