Associate Scientist, Display Technologies

BigHat Biosciences

  • San Mateo, California
  • 30+ days ago

    Highlights

    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. *At BigHat we believe in titles that commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate.

    Numbers & Facts

    LocationSan Mateo, California

    Description

    Description


    The role: BigHat Biosciences is seeking a curious and motivated Associate Scientist 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.

    *At BigHat we believe in titles that commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate. 

    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 and yeast display libraries across diverse antibody formats (VHH, scFv, Fab) using standard molecular biology techniques (PCR, molecular cloning, electroporation).
    • Execute phage and yeast display selections using naive and affinity and stability maturation libraries to discover and 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.
    • Present experimental plans and results during regular meetings with manager and science teams.
    • Maintain thorough records using LIMS and electronic notebooks.

    Skills Knowledge and Expertise


    • BS or MS in Biochemistry, Molecular Biology, Bioengineering, or a related field.
    • 4+ years of hands-on laboratory experience (academic or industry); relevant internship or research experience welcome.
    • Familiarity with general molecular biology techniques (PCR, molecular cloning, gel electrophoresis).
    • Exposure to antibody biology, display technologies (phage or yeast), and protein expression.
    • 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.
    • Nice-to-haves include experience with flow cytometry, ELISA, or other binding assays, and familiarity with NGS or automation platforms.

    Total Rewards


    The salary estimated for this position is $120,000 - $135,000 + 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.

    What BigHat Offers:
    • Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
    • Dental, and vision coverage through Guardian
    • Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
    • 401(k) with company match 
    • DTO, two weeks of company-wide shutdown, and 12 company holidays
    • Paid parental leave

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