Scientist

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.

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, protein design, and therapeutic 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.

This is a high-impact leadership role at the intersection of computational biology, experimental science, and software engineering. You’ll define how Profluent characterizes the activity and specificity of novel gene editors, establish rigorous and reproducible practices across bioinformatics and data science, and mentor and grow a team as our platform and therapeutic programs scale.

Responsibilities

• Lead the development and operation of Profluent’s NGS analysis platform for gene editing, protein design, and therapeutic programs
• Develop scalable pipelines and analytical methods for new sequencing assays
• Partner with wet-lab teams to design, test, troubleshoot, and validate new assays
• Lead computational characterization of gene-editor on-target activity, specificity, and off-target effects
• Translate sequencing data into clear biological insights, program decisions, and regulatory-ready analyses
• Collaborate with computational teams to curate high-quality datasets for model training and evaluation
• Establish rigorous, reproducible practices for analytical validation, testing, documentation, and code review
• Recruit, mentor, and develop a high-performing bioinformatics and data science team

Qualifications

• PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field
• PhD with 5+ years or MS with 7+ years of industry experience applying NGS and computational analysis to gene or cell therapy development
• Deep expertise in the design, analysis, and interpretation of high-throughput sequencing assays
• Strong programming and quantitative analysis skills, particularly in Python
• Proven ability to translate complex sequencing data into clear biological insights and program decisions