Scientist I, Display Technologies
San Mateo, CA - USA
Job Summary
- Support R&D projects advancing display technologies at BigHat that expands BigHats antibody discovery capabilities and feed its ML models.
- Lead in the construction and QC of phage display libraries across diverse antibody formats (VHH scFv Fab) using standard molecular biology techniques (PCR molecular cloning electroporation).
- Execute standard phage display selections to engineer antibodies with desired therapeutic properties.
- Express purify and characterize display-derived molecules using assays including ELISA flow cytometry BLI/SPR CE-SDS and others.
- Analyze selection results and contribute to discussions on next steps and future experimental design.
- Collaborate with BigHats Data Science and Machine Learning teams to inform library design and interpret selection data for model training.
- Collaborate closely with BigHat leadership and other cross-functional team members to ensure a tight linkage between strategy research and development components.
- Present experimental plans and results during regular meetings with manager and science teams.
- Effectively and regularly communicate results to key decision makers the broader BigHat team and to external partners.
- Maintain thorough records using LIMS and electronic notebooks.
- Ph.D. in Biochemistry Structural Biology Protein Engineering or a related field with up to 2 years of industry research experience; or an M.S. in a related field with 6 years of relevant industry research experience.
- Experience with display technologies including library design and selection strategies.
- Knowledge of antibody biology and protein expression.
- Strength in general molecular biology techniques (PCR molecular cloning gel electrophoresis).
- Nice-to-haves include experience with flow cytometry ELISA or other binding assays and familiarity with NGS or automation platforms.
- Demonstrated ability to follow protocols carefully troubleshoot experiments and maintain detailed lab records.
- Effective time management and clear written and verbal communication skills.
- Collaborative team-oriented mindset with an eagerness to learn in a fast-paced startup environment.
- Scientific track record and publication record.
- Strong data analysis and interpretation skills. Experience working with agentic software tools is a plus.
Required Experience:
IC
About Company
BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology. BigHat integrates a wet lab for high-speed characterization with machine learning technologies to guide the search for better antibodies. We apply these desig ... View more