Lead Bioinformatics Scientist, NGS

Profluent; Emeryville (CA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation package

Generous PTO policy

Professional development opportunities

Job summary

A leading protein design company in Emeryville is seeking a computational scientist to lead NGS analysis and enhance gene editing programs. The ideal candidate will have extensive experience in computational biology and software engineering. Responsibilities include developing scalable data analysis pipelines, mentoring team members, and fostering innovation. The company offers competitive compensation, equity participation, and a commitment to work-life balance.

Qualifications

• 5+ years of experience analyzing NGS datasets.
• Expertise in workflow orchestration tools and cloud environments.
• Deep understanding of Linux and software engineering best practices.

Responsibilities

• Lead design and implementation of scalable NGS analysis pipelines.
• Develop visualizations and reports to communicate insights.
• Manage cloud-based compute environments and data systems.

Skills

NGS analysis

Computational biology

Software engineering

Data visualization

Cloud environments

Containerization

Mentoring

Education

PhD or MS in Bioinformatics, Computational Biology, or related field

Tools

Nextflow

Snakemake

GCP

AWS

Docker

Kubernetes

Job description

Emeryville, California, United States; Hybrid (2-3 days on-site)

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.

The Role

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.

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

Qualifications

• 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)
• 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

Preferences

• 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

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Work Authorization

Candidates must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided for this position.

Profluent Bio, Inc. is an equal opportunity employer committed to diversity and inclusion in the workplace.