Research Scientist

The role

You will develop and execute high-throughput assays to evaluate model-generated proteins. You will work at the interface of generative AI and biology to establish reliable workflows and generate interpretable data.

What you will do

• Design, execute, optimize, and troubleshoot cell-based and biochemical assays.
• Select and implement new assays with technical expert consultants.
• Collaborate with the automation team to increase throughput and efficiency.
• Use Python to process experimental data and assess assay quality.
• Document methods, samples, and results using Benchling or LIMS.
• Provide well-documented data and biological context to ML colleagues.

Required qualifications

• PhD in molecular biology, cell biology, biochemistry, or a related field.
• 1-3 years of relevant industry research experience for Scientist.
• More than 3 years of relevant industry research experience for Sr. Scientist.
• Experience with high-throughput workflows.
• Experience in molecular biology and mammalian cell culture.
• Proficiency in Python and Jupyter notebooks for data processing and analysis.
• Experience using Benchling, a LIMS, or comparable tools.
• Depth in at least one area: Gene Editing and Protein–DNA Interaction Characterization, Membrane Protein Characterization, or Protein Biochemistry and Biologics Characterization.
• Experience mentoring others in professional and technical context (Sr. Scientist).
• Experience managing complex projects with CROs, including SOWs and negotiating contracts (Sr. Scientist).

Nice to have

• Experience in an early-stage biotech.
• 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.
• Experience working with computational scientists or evaluating computationally designed proteins.

Benefits

• Competitive compensation
• Equity
• Benefits

About the company

Latent Labs is building frontier AI models that design medicines computationally from first principles. The team includes members who led foundational work behind Google DeepMind's AlphaFold.