Scientist I, Display Technologies

Department: Lab Science

Employment Type: Full Time

Location: San Mateo, CA

Description

Key Responsibilities

• Support R&D projects advancing display technologies at BigHat that expands BigHat's 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 BigHat’s 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.

Skills Knowledge and Expertise

• 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.

Total Rewards