The next frontier is authoring new biology, and with AI, we have the power to write the future—creating solutions that transform medicine, agriculture, and beyond. Backed by Insight and Air Street.
About the role
Profluent is scaling the discovery engines that supply data for AI-driven antibody and protein design. We're hiring an experienced protein engineer to lead display campaigns and build high-throughput platforms for measuring protein-protein interactions (PPI) at scale. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Build the founding high-throughput platforms for identifying and measuring protein-protein interactions
- Lead phage display campaigns end-to-end, from library construction through panning, NGS, and hit validation
- Design and troubleshoot selection strategies, including antigen selection, library QC, and stringency selections
- Plan campaigns with ML and protein design scientists (targets, assays, readouts) and define what makes binding data fit for model training and evaluation
- MS (3 + years industry experience) or PhD in (0- 2 years industry experience), Molecular Biology, Biochemistry, Protein Engineering, Biophysics, Immunology, or a related discipline
- Deep hands-on experience with phage display and antibody discovery (required)
More about this role
Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.
Profluent is scaling the discovery engines that supply data for AI-driven antibody and protein design. We're hiring an experienced protein engineer to lead display campaigns and build high-throughput platforms for measuring protein-protein interactions (PPI) at scale.
This is primarily a bench role. You'll run your own campaigns, build and validate assays, and set the controls and QC that turn raw screening output into model-ready datasets, working closely with ML, protein design, automation, and bioinformatics colleagues.
- Build the founding high-throughput platforms for identifying and measuring protein-protein interactions.
- Lead phage display campaigns end-to-end, from library construction through panning, NGS, and hit...
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