Research Scientist

Latent Labs

. Develop, execute, optimize, and troubleshoot cell-based and biochemical assays for model-generated proteins .

Posted 11/6/2026full-timeSan Francisco • California • United StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing cell-based and biochemical assays, with proficiency in Python for data processing and analysis. Strong foundation in molecular biology and experience with high-throughput workflows and laboratory automation are essential.

Highest-signal resume keywords

PhD In Molecular BiologyHigh-Throughput Experiment DevelopmentPython ProficiencyMolecular Cloning ExperienceAssay Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cell-Based Functional AssaysBiochemical AssaysExperimental DesignFlow Cytometry/FACSELISANext-Generation SequencingMammalian Cell CultureData AnalysisGene EditingProtein Biochemistry

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

BenchlingLIMSJupyter NotebooksGitGitHub

Industry Keywords

BiotechAssay DevelopmentLaboratory AutomationCRO Project ManagementProtein-DNA Interaction Characterization

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop, execute, optimize, and troubleshoot cell-based and biochemical assays for model-generated proteins
Run high-throughput plate-based workflows
Select and implement new assays with technical expert consultants
Interpret unfamiliar data and translate specialist knowledge into reproducible internal workflows
Collaborate with automation teams to improve throughput, reproducibility, and efficiency
Contribute to development of the screening platform
Process experimental data with Python
Assess assay quality and communicate findings and limitations
Establish controls and quality-control criteria
Document methods, samples, experimental conditions, and analysis results using Benchling, a LIMS, or similar tools
Provide ML colleagues with documented data and biological context
Translate experimental results into actionable insights for subsequent protein-design cycles
Work with experimental scientists, ML researchers, automation colleagues, and technical expert consultants

Requirements

What you’ll need

PhD in molecular biology, cell biology, biochemistry, or a related field
Scientist: at least 1–3 years of relevant industry research experience
Sr. Scientist: more than 3 years of relevant industry research experience
Experience developing or running high-throughput experiments, ideally using plate-based assays and laboratory automation
Strong foundation in molecular biology, mammalian cell culture, and experimental design
Experience with relevant methods such as molecular cloning, cell-based functional assays, flow cytometry/FACS, ELISA, or next-generation sequencing
Proficiency in Python and Jupyter notebooks for data processing, analysis, and visualization
Experience using Benchling, a LIMS, or comparable tools
Depth in at least one relevant area: gene editing and protein–DNA interaction characterization; membrane protein characterization; or protein biochemistry and biologics characterization
Ability to take an assay from initial feasibility testing through optimization and reproducible execution
Experience mentoring others and managing complex CRO projects, including SOWs, contract negotiation, and troubleshooting, for Sr. Scientist applicants
Experience with early-stage biotech, assay/workflow establishment, transferring externally developed assays, improving automated screening workflows, Git/GitHub, or computationally designed proteins is an advantage

Benefits

Comp & perks

Competitive compensation
Equity
Benefits
Significant ownership and impact across all roles
Opportunity to work at the frontier of AI and computational biology
Opportunities for significant ownership and impact