Scientist I, Screening Tech Development

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 Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date. The Role Profluent is seeking a highly motivated and versatile Scientist I to drive screening infrastructure development and deployment to transform our mammalian genome-editing platform. This is a hands-on, lab-based role focused on bridging AI-driven enzyme design with high-throughput experimental validation. The successful candidate will spearhead advanced genome-editing projects, build scalable screening workflows, and support key internal and external collaborations. The ideal candidate will bring a strong foundation in mammalian cell biology, genome editing, molecular biology, and an eagerness to collaborate deeply with biologists, bioinformaticians, machine learning engineers, and automation teams. Responsibilities Build and disseminate scalable pooled mammalian screening and DNA preparation workflows across teams, drive the impact of said novel technologies, and manage the infrastructure required to screen large-scale libraries Design, execute, and optimize high-throughput (HTP) mammalian transfection workflows and cell-based assays to evaluate genome-editing outcomes, quantify genome editing via Next-Generation Sequencing (NGS) Generate poly- and monoclonal cell lines using Homology-Directed Repair (HDR) and lentiviral transduction Leverage literature insights to independently design biologically and statistically rigorous screening experiments, troubleshoot complex cell-based assays, and pioneer new library design methodologies, staying at the forefront of the genome-editing field Partner closely with Machine Learning (ML), Bioinformatics, Automation, and Biology teams to support the adoption and impact of novel screening technologies and apply them to engineer new enzyme activities and mechanisms Maintain meticulously clear electronic lab notebooks, SOPs, and analytical summaries to ensure highly reproducible data handoffs to data science and platform teams Mentor junior colleagues and routinely share findings in department meetings; serve as an active contributor to our scientific and collaborative company culture, building and maintaining tight professional relationships across departments Qualifications PhD in molecular biology, bioengineering, biochemistry, cell biology, or a related discipline with 0–2 years of relevant industry/postdoctoral experience, an MS with 8+ years of relevant industry experience, or Bachelor's degree with 10+ years of relevant industry experience Deep, hands-on competence in mammalian cell culture, maintenance, engineering, and characterization via bulk population and (experience with hard-to-transfect or specialized cell lines is a plus) as well as proven expertise with monoclonal isolation and characterization techniques Direct experience with advanced genome-editing modalities (e.g., base editors, prime editors, recombinases, or nucleases) and the routine use of NGS to quantify editing efficiency Proven expertise in modern cloning methodologies (e.g., Golden Gate, Gibson assembly, pooled library preparation), complex DNA design, analysis of pooled DNA populations, and high-volume ordering logistics Direct experience setting up and executing microplate-based, automation-compatible workflows or deep-well HTP transfections along with a strong understanding of how to structure and track wet-lab data for downstream computational analysis Strong technical judgment, attention to detail, and the ability to pivot seamlessly between diverse infrastructure projects in a fast-paced, startup environment Excellent organizational, communication, and collaboration skills Preferences Experienced with pooled screening and demultiplexing via NGS Experience with flow cytometry of mammalian cells Experience handling and analyzing large datasets using SQL, Python, JMP, bash, or equivalent data science tools Experience in Design of Experiments (DoE) and statistical analysis of high-throughput screening experiments Familiarity with liquid handling automation platforms (e.g., Hamilton, Tecan) and integrated LIMS tracking systems (e.g. Benchling) What We Offer 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. 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

$127,000—$142,000 USD