Profluent
Scientist I, Screening Tech Development
Emeryville, California, United States; On-site
Work authorization required$127k-$142kDetected 5 days ago
PythonBashSQLMachine LearningSparkData ScienceStatisticsLogisticsBioinformaticsFlow CytometryMolecular BiologyNGSCell CultureCommunicationCollaboration
About 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.
Responsibilities
- 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)
- 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
- Maintain meticulously clear electronic lab notebooks, SOPs, and analytical summaries to ensure highly reproducible data handoffs to data science and platform teams
- serve as an active contributor to our scientific and collaborative company culture, building and maintaining tight professional relationships across departments
Requirements
- 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
- Strong technical judgment, attention to detail, and the ability to pivot seamlessly between diverse infrastructure projects in a fast-paced, startup environment
- Experience with flow cytometry of mammalian cells
- Experience handling and analyzing large datasets using SQL, Python, JMP, bash, or equivalent data science tools
- Familiarity with liquid handling automation platforms (e.g., Hamilton, Tecan) and integrated LIMS tracking systems (e.g. Benchling)
- 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
- 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
- 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
- Excellent organizational, communication, and collaboration skills
- Experienced with pooled screening and demultiplexing via NGS
- Experience in Design of Experiments (DoE) and statistical analysis of high-throughput screening experiments
- High-growth opportunity with meaningful impact on the future of protein design
- Competitive compensation package with equity participation
Compensation
- Competitive compensation package with equity participation
Benefits
- Comprehensive benefits including health/dental/vision insurance
- Generous PTO policy and commitment to work-life balance
- 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
Equal opportunity
- equal opportunity employer promoting diversity and inclusion in the workspace.
Visa & Work Authorization
- 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.
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