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

PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field
5+ years of experience analyzing NGS datasets (e.g., amplicon sequencing, high-throughput editing, or screening experiments)
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

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

Lead Bioinformatics Scientist, NGS

Key skills