Scientist I, Display Technologies
Department: Lab Science
Employment Type: Full Time
Location: San Mateo, CA
Description
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.