Lead Bioinformatics Scientist, NGS

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

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

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

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.

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