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. 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 The salary estimated for this position is $120,000 - $145,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.