Lead Bioinformatics Scientist, NGS
About The Position
We're seeking an experienced computational scientist to lead the design, development, and operation of the NGS analysis platform that powers Profluent's gene editing and protein design programs. You'll work at the intersection of computational biology, software engineering, and experimental biology to build scalable systems that extract clear, actionable insights from large-scale sequencing data. In this role, you'll architect core bioinformatics infrastructure, define analytical strategy, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You'll also mentor team members, promote software engineering best practices, and help shape the future of Profluent's computational biology capabilities.
Requirements
- 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
Nice To Haves
- Experience with gene editing technologies (CRISPR, base or prime editing; strongly preferred)
- Familiarity with SQL and data modeling for biological or experimental data
- Experience with LIMS platforms (e.g., Benchling) and lab data integration
- Track record of developing production-quality scientific software or open-source bioinformatics tools
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
Benefits
- High-growth opportunity with meaningful impact on the future of protein design
- Competitive compensation package with equity participation
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Education Level
Ph.D. or professional degree
Number of Employees
11-50 employees
