Scientist II, Biomolecular Characterization

BigHat Biosciences; San Mateo (CA); On-site; USD 145,000 - 165,000; Full time

Benefits offered by this job

Bonus

Stock options

Benefits

Job summary

BigHat Biosciences is seeking a Scientist II or Senior Scientist I in Biomolecular Characterization to drive antibody–target binding characterization, develop new assay capabilities, and represent the team across BigHat’s programs.

Key responsibilities include designing and implementing binding strategies using BLI and SPR, collaborating with discovery and lead optimization teams, and communicating results to decision-makers to accelerate program progression.

Qualifications

• Ph.D. with 2–5 years, or MSc with 5+ years of independent industry research in binding assays.
• Fluency in bioanalytical science, biochemistry, biophysics, and assay design.
• Experience with lab automation and working with automation engineers.

Responsibilities

• Develop, optimize, and implement high- and low-throughput strategies to characterize antibody–antigen interactions.
• Implement best practices for binding assay design across formats.
• Troubleshoot assay issues and interpret antibody–antigen data for stakeholders.

Skills

High-throughput assays

BLI/SPR data analysis

Cross-functional collaboration

Education

PhD

MSc

Tools

BLI

SPR

ELISA/MSD

Flow Cytometry

Carterra

Cytiva

Sartorius

Job description

Description

• 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.

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.