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Scientist I, Display Technologies

BigHat Biosciences
San Mateo, USA
Full-time
Entry · 2+ years experience
Onsite
USD 120000-145000 yearly / year
Discovered 1 months ago
PCRLIMSELISANGS

Full Job Posting

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.

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