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  3. Scientist II, Biomolecular Characterization
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Role description

Scientist II, Biomolecular Characterization

BigHat Biosciences logoBigHat Biosciences
TypeFull-time
WorkplaceOn-site
Salary$145,000–$165,000
LocationSan Mateo, CA

Company info

BigHat Biosciences logo

BigHat Biosciences

BigHat Biosciences is a novel protein therapeutics company and developer of an AI-guided antibody design platform

BigHat’s mission is to improve human health by making it far easier to design advanced, next-generation antibody therapeutics. Our AI-enabled experimental platform integrates a high-speed characterization or “wet” lab with machine learning technologies to speed the antibody engineering process. When applied, these design capabilities have the potential to drive the development of new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases. BigHat is backed by Section 32, ‍Andreessen Horowitz, 8VC, Amgen Ventures, Bristol Myers Squibb, Quadrille, Grids Capital, AME Cloud Ventures, Innovation Endeavors and Gaingels.

Private companySeries CRecently raised
Founded2019
HQSan Mateo, United States
Posted
9/1/2026
Research

Department:
Lab Science

Location:
San Mateo, CA

Description
The role:
BigHat Biosciences is seeking an exceptional individual for a Scientist II or Senior Scientist I in Biomolecular Characterization* role to drive characterization of
in vitro
antibody-target binding behavior, develop new assay capabilities, and represent the team across BigHat’s programs.

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

Key Responsibilities

  • Develop, optimize, and implement high- and low-throughput state-of-the-art strategies to characterize the interactions between antibody and antigen using biolayer interferometry (BLI) and surface plasmon resonance (SPR).
  • Implement best practices for binding assay design across various bioanalytical assay formats.
  • Troubleshoot and diagnose assay issues, building foundational understanding of antibody/antigen interactions that stakeholders can act on.
  • Collaborate closely with BigHat’s science organization to accelerate hits from discovery through lead optimization and candidate nomination.
  • Effectively synthesize and communicate results and research activity to key decision makers and the broader BigHat team.
  • Partner with automation engineering, software engineering, and production teams to scale and productionize high-throughput kinetics assays.

Skills Knowledge And Expertise

  • Ph.D. 2-5 years, or M.Sc with 5+ years of independent research and development experience in an industry setting, including substantial experience with binding assays including BLI, SPR, ELISA/MSD and Flow Cytometry workflows (preferably across Carterra, Cytiva and Sartorius instrumentation).
  • Practical and theoretical fluency in bioanalytical science, biochemistry, biophysics, assay design and development (experience in both complex and buffered matrices preferred).
  • Experience with lab automation and working with automation engineers (preferred).
  • Strong data analysis and interpretation skills coupled to exceptional written, verbal, and visual communication skills.
  • Ability to educate and build consensus among diverse stakeholders regarding scientific direction.

Total Rewards
The salary estimated for this position is $145,000 - $165,000 + 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.

Relevant archetypes

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Size
51-200 employees
IndustryBiotechnology Research
Latest fundingSeries C · Sep 24, 2026
Investors
8VCInnovation EndeavorsAME Cloud VenturesAndreessen Horowitz
Tech stackprism, tableau, amazon-ecs, broadly, workspace, microsoft-powerpoint, pytorch, jira, graphpad-prism, zoom, agilent, google-docs, runcode, google-cloud-platform, netsuite, postgresql, zoom-rooms, benchmark, microsoft-typescript, pandas

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