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About the Role
Latent Labs is building an engineering alternative to traditional drug discovery by using frontier AI models to design medicines computationally. We are seeking hands-on Scientists and a Sr. Scientist to join our team at the interface of generative AI and biology. Our models design novel proteins, and our experimental team develops and runs assays to characterize their properties and functions, identify strengths and failure modes, and guide subsequent model development.
Responsibilities
- Develop and execute high-throughput assays.
- Independently design, execute, optimize, and troubleshoot cell-based and biochemical assays to evaluate model-generated proteins, with an emphasis on high-throughput plate-based workflows.
- Establish new experimental capabilities by selecting and implementing new assays, interpreting unfamiliar data, and translating specialist knowledge into reproducible internal workflows.
- Improve screening workflows by collaborating with the automation team to increase throughput, reproducibility, and efficiency, and contributing to the development of our screening platform.
- Analyze and interpret results using Python for data processing, assessing assay quality, and communicating findings and limitations.
- Establish appropriate controls and QC criteria.
- Document methods, samples, experimental conditions, and analysis results using Benchling, a LIMS, or similar tools.
- Connect experiments to model development by providing well-documented data and biological context to ML colleagues, and helping translate results into actionable insights for subsequent design cycles.
- For Sr. Scientist: Mentoring others in professional and technical context.
- For Sr. Scientist: Managing complex projects with CROs, including understanding SOWs, negotiating contracts, and troubleshooting.
Requirements
- PhD in molecular biology, cell biology, biochemistry, or a related field.
- 1-3 years of relevant industry research experience for Scientist role.
-
3 years of relevant industry research experience for Sr. Scientist role.
- Ability to take an assay from initial feasibility testing through optimization and reproducible execution.
- Experience developing or running high-throughput experiments, ideally using plate-based assays and laboratory automation.
- Understanding of how experimental design, controls, and sample handling affect data quality.
- Experience in molecular biology and mammalian cell culture.
- 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.
- Ability to produce clear, reproducible analyses.
- Maintenance of accurate experimental records.
- Experience using Benchling, a LIMS, or comparable tools to track samples and associated data.
- Depth in at least one of the following areas: Gene Editing and Protein–DNA Interaction Characterization, Membrane Protein Characterization, or Protein Biochemistry and Biologics Characterization.
- Experience in an early-stage biotech, including establishing new assays, workflows, or laboratory processes.
- Experience transferring consultant-developed or externally developed assays into an internal lab.
- Experience improving automated screening workflows or sample and data management systems.
- Familiarity with Git and GitHub for version control and collaborative analysis.
- Experience working with computational scientists or evaluating computationally designed proteins.
- Additional years of industry experience for Sr. Scientist.
- Experience managing complex projects with CROs, with full ownership including understanding SOWs, negotiating contracts, and troubleshooting for Sr. Scientist.
Skills
- Generative AI
- Biology
- High-throughput assays
- Molecular biology
- Mammalian cell culture
- Experimental design
- Plate-based workflows
- Laboratory automation
- Python
- Jupyter notebooks
- Data processing
- Data analysis
- Data visualization
- Benchling
- LIMS
- Gene Editing
- Protein–DNA Interaction Characterization
- Membrane Protein Characterization
- Protein Biochemistry
- Biologics Characterization
- Molecular cloning
- Cell-based functional assays
- Flow cytometry/FACS
- ELISA
- Next-generation sequencing
- Git
- GitHub
- Version control
- Collaborative analysis
Location
- Remote
Work Type
- Full-time
Experience Level
- Scientist (1-3 years industry experience)
- Sr. Scientist (>3 years industry experience)
Education Level
- PhD in molecular biology, cell biology, biochemistry, or a related field
Benefits
- Competitive compensation
- Equity
- Benefits
About the Company
- Latent Labs is building the engineering alternative to drug discovery: frontier AI models that design medicines computationally, directly from first principles.
- Since founding in 2023, we've released four products already accelerating research from pain relief to cancer therapy, most recently Latent-Y, the first lab-validated agent for drug design.
- Several of our team led foundational work behind Google DeepMind's AlphaFold, so we’re working at that level of research and beyond, backed by Radical Ventures and Sofinnova Partners.
- We hold every contribution, computational or experimental, to the same exacting bar, and push the boundaries to deliver at exceptional pace.
- We are expanding rapidly so there are many opportunities for significant ownership and impact across all roles.