About this role
The role: BigHat Biosciences is seeking a curious and motivated Scientist 1 to join the Display Technologies team. This individual will contribute to BigHat’s antibody discovery and engineering efforts and help generate high-quality data to improve BigHat’s machine learning models using display technologies, working closely with senior scientists and cross-functional teams. 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.