Scientist/Senior Scientist, Display Technologies

BigHat Biosciences•San Mateo, CA

2d•$145,000 - $187,000•Onsite

About The Position

The Role: BigHat Biosciences is seeking a self-motivated Scientist or Senior Scientist to join the Display Technologies team. This individual will expand BigHat’s ability to discover and engineer next-generation antibodies and to generate high-quality data to improve BigHat’s machine learning models using display technologies.

Requirements

PhD with 3+ years of experience
Extensive experience with phage and yeast display workflows for antibody engineering.
Experience with general molecular biology tools (PCR, Molecular Cloning, Mutagenesis) and developing/executing antibody binding assays.
Effective time management and excellent written and verbal communication skills driving an ability to plan and deliver diverse technical projects simultaneously in a dynamic start-up environment.
Strong record keeping skills using LIMS and electronic notebooks.
Excited to work with diverse, cross functional teams to onboard new assays and disseminate results.

Nice To Haves

previous experience with other display modalities (ribosome, mRNA, mammalian)
NGS prep/analysis of display campaigns
experience using automation for high-throughput assay development.

Responsibilities

Conceive and lead R&D projects to advance display technologies at BigHat.
Design antibody libraries to discover and optimize antibodies for affinity, cross-reactivity, stability, and function across diverse formats such as VHH, scFv, and Fab.
Construct and QC phage and yeast display libraries of diverse antibody formats to use for in vitro selections (PCR, molecular cloning, electroporations).
Perform phage and yeast display selections using naive and affinity maturation libraries to discover and/or engineer novel next-generation antibodies for diverse therapeutic properties, including co-selection for multiple key attributes
Express, purify, and characterize display-derived molecules using a suite of assays including ELISA, flow cytometry, BLI/SPR, CE-SDS, and others.
Analyze results from display selections to guide next steps and future experiments.
Collaborate with BigHat’s Data Science and Machine Learning teams to facilitate data transfer and analysis to further bolster library design and machine learning model training.
Present experimental plans and results during regular meetings with manager and science teams.

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