Profluent Logo

Profluent

Lead Scientist / Associate Director, Bioinformatics and Data Science

Reposted One Month Ago
Be an Early Applicant
In-Office
Emeryville, CA, USA
205K-246K Annually
Senior level
In-Office
Emeryville, CA, USA
205K-246K Annually
Senior level
Lead the design and development of the NGS analysis platform for gene editing and protein engineering while mentoring team members and collaborating with various teams.
The summary above was generated by AI

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
  • Experience partnering closely with experimental scientists to guide assay design, troubleshoot results, and define follow-up studies
  • Demonstrated scientific leadership, including setting analytical strategy, leading complex cross-functional projects, and mentoring computational scientists
  • Experience developing scalable, reproducible, and well-validated computational workflows

Preferences

  • Experience with CRISPR-based gene editing data and analysis
  • 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 and tools

What We Offer

  • 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

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.

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

Hiring Salary Range
$205,379—$245,632 USD

NOTICE TO STAFFING AND SEARCH FIRMS: Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.

HQ

Profluent Berkeley, California, USA Office

Berkeley, California, United States

Similar Jobs

10 Minutes Ago
Hybrid
Pleasanton, CA, USA
175K-219K Annually
Senior level
175K-219K Annually
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Partners with Product and Engineering leaders on budgets, forecasts, strategic plans, reporting, profitability analysis, product roadmaps, capital allocation, and business cases. Builds financial models using large datasets, supports product-line financial statement accuracy, enhances finance systems, and applies automation and AI to finance processes. Presents insights to executives and serves as the finance expert for product and technology investments.
Top Skills: AdaptiveAnaplanHyperionLookerSQLTableau
15 Minutes Ago
In-Office
Entry level
Entry level
Events • Food • Travel • Hospitality • Hotels & Resorts
Supervise daily restaurant operations, maintain guest service and product quality standards, guide team members during shifts, assist with scheduling and mentoring, address guest concerns, support food and beverage sales, and ensure compliance with health, safety, sanitation, and alcohol regulations.
15 Minutes Ago
In-Office
Entry level
Entry level
Events • Food • Travel • Hospitality • Hotels & Resorts
Provides food and beverage service at banquet events, delivers friendly guest experiences, enters orders into a point-of-sale system, maintains stocked and clean service stations, clears tableware, assists with event setup, and follows health, safety, sanitation, and alcohol-awareness regulations.
Top Skills: Point-Of-Sale System

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account