Yeast Display Scientist II: Binder Discovery

Profluent; Emeryville (CA); Presencial; USD 155.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation package with

Equity participation

401(k) with strong employer match

Generous PTO policy

Professional development opportunities

Descripción de la vacante

Profluent, founded in 2022 and headquartered in Emeryville, CA, is scaling discovery engines to feed AI-driven protein design. We seek a Scientist II to own the yeast display platform for binder generation, from library construction through FACS readouts and NGS readouts, guiding its growth with design ambitions.

You will partner with ML and Protein Design teams to shape campaigns, establish QC, and ensure data traceability as the platform matures.

Formación

• PhD in Molecular Biology, Biochemistry, Protein Engineering, Biophysics, Immunology, or a closely related field, with 3+ years of relevant industry experience (level and compensation will be commensurate with experience)
• Deep hands-on experience with yeast surface display, including library construction (e.g., homologous recombination, electroporation at scale), induction and expression optimization, and multi-round selection campaigns (required)
• Proven track record of generating and screening libraries for binder discovery or optimization (naive, immune, synthetic, or designed)
• Strong flow cytometry and FACS expertise, including gating strategy, sort design, and data interpretation
• Working knowledge of NGS-based screening workflows (e.g., display library sequencing, deep mutational scanning, amplicon sequencing) and how to turn that data into a quantitative readout
• Strong molecular biology skills (cloning, mutagenesis, DNA assembly)
• Demonstrated ability to define and uphold assay quality standards: controls, reproducibility, and signal-to-noise
• Solid understanding of protein engineering and developability considerations
• Comfortable working across disciplines: can discuss binding biophysics with biologists and model-guided design with ML scientists

Responsabilidades

• Establish and validate a yeast surface display platform for binder generation, including display vector and strain selection, library design and construction, and FACS-based selection and sorting
• Design and execute yeast display campaigns across binder formats (e.g., de novo miniproteins, VHHs, scFvs, and alternative scaffolds) against a range of targets
• Take workflows from concept to a robust, repeatable process: define controls, QC, and acceptance criteria, and characterize reproducibility, signal-to-noise, and the relationship between sort-bin enrichment and binding strength
• Build NGS readouts into selections and deep mutational scanning workflows, converting raw sequencing counts into quantitative binding metrics that ML models can learn from
• Partner with the ML scientists, and Protein Design scientists to scope campaigns (targets, library composition, readouts) and to define what "model-ready" binding data looks like
• Work with Bioinformatics on metadata schemas and data ingestion so every dataset is traceable to its parent campaign

Conocimientos

Yeast display

FACS expertise

NGS workflows

Molecular biology

Protein engineering

Assay quality standards

Cross-disciplinary collaboration

Educación

PhD in Molecular Biology/Biochemistry/Protein Engineering/Biophysics/Immunology

Herramientas

Hamilton automation

Tecan automation

Benchling LIMS/ELN

Carterra SPR

Octet BLI

Descripción del empleo

Profluent, founded in 2022 and headquartered in Emeryville, CA, is scaling discovery engines to feed AI-driven protein design. We seek a Scientist II to own the yeast display platform for binder generation, from library construction through FACS readouts and NGS readouts, guiding its growth with design ambitions.

You will partner with ML and Protein Design teams to shape campaigns, establish QC, and ensure data traceability as the platform matures.