Yeast Display Scientist II: Binder Discovery & ML Data

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

Ventajas ofrecidas por este puesto de trabajo

Equity participation

401k match

Health insurance

Dental/vision insurance

Generous PTO

Professional development

Descripción de la vacante

Profluent Bio, Inc in Emeryville, CA seeks a Scientist II to own and build its yeast display platform for binder generation. You will lead library construction, FACS-based selection, and downstream NGS readouts to feed protein design models.

You will collaborate with ML and Protein Design teams to define targets, campaign designs, and model-ready binding data while scaling the platform for routine use in a fast-paced biotech setting.

Formación

• PhD in Molecular Biology, Biochemistry, Protein Engineering, Biophysics, Immunology, or related field with 3+ years industry experience.
• Hands-on yeast surface display experience including library construction, induction and expression optimization, and multi-round selection campaigns.
• Proven track record of generating and screening libraries for binder discovery or optimization.
• Strong flow cytometry and FACS expertise, including gating strategy, sort design, and data interpretation.
• Working knowledge of NGS-based screening workflows and turning data into a quantitative readout.
• Strong molecular biology skills (cloning, mutagenesis, DNA assembly).
• 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 with ML scientists and biologists.

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

NGS workflows

molecular biology

protein engineering

cloning

data interpretation

ML collaboration

Educación

PhD in Molecular Biology or related field

Herramientas

Flow cytometry

NGS analysis

DNA assembly

Descripción del empleo

Profluent Bio, Inc in Emeryville, CA seeks a Scientist II to own and build its yeast display platform for binder generation. You will lead library construction, FACS-based selection, and downstream NGS readouts to feed protein design models.

You will collaborate with ML and Protein Design teams to define targets, campaign designs, and model-ready binding data while scaling the platform for routine use in a fast-paced biotech setting.