Senior Scientist II, Biomolecular Characterization

Scientist II, Biomolecular Characterization

Department: Lab Science

Employment Type: Full Time

Location: San Mateo, CA

The role: Big Hat 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 Big Hat’s programs.

* At Big Hat 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.

• 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 Big Hat’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 Big Hat team.
• Partner with automation engineering, software engineering, and production teams to scale and product ionize high-throughput kinetics assays.

• 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.

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.