Associate Scientist, Advanced Characterization

Role Summary

Associate Scientist, Advanced Characterization. Design, execute, and analyze label-free biosensor interaction assays to characterize antibodies derived from proprietary human-sequence immune repertoires. Collaborate with cross-functional teams to provide binding data across projects, focusing on high-throughput kinetics, affinity, and epitope mapping and binning.

Responsibilities

• Independently design, execute, and analyze SPR and BLI-based biosensor assays to characterize biomolecular interactions.
• Develop and optimize kinetic and epitope binning assays to support antibody discovery and characterization.
• Collaborate with computational biology and structural modeling teams to interpret binding data and inform antibody selection.
• Contribute to project planning, experimental design, and troubleshooting with minimal supervision.
• Maintain high-quality documentation, including protocols, SOPs, and experimental reports.
• Present findings in internal meetings and contribute to scientific presentations, posters, and publications.
• Participate in proof-of-concept studies involving cutting-edge technologies in antibody discovery and characterization.
• Other duties as required.

Qualifications

• PhD in Biochemistry, Molecular Biology, Biophysics, or related field with 0+ years of experience.
• Alternatively, MSc in a relevant field with 7+ years of experience or a BSc in a relevant field and 10+ years of experience.
• Demonstrated expertise in protein biochemistry and biomolecular interaction analysis.
• Proficiency in SPR (e.g., Biacore, Carterra) and/or BLI (e.g., Octet) platforms.
• Strong understanding of kinetic analysis, epitope binning, and protein-protein interactions.
• Experience with data visualization and interpretation to guide experimental decisions.
• Proven ability to work independently and collaboratively in a fast-paced, cross-functional environment.
• Excellent communication skills and a proactive approach to problem-solving.

Nice to Have

• Familiarity with machine learning applications in antibody discovery.
• Experience with ITC, FRET, stopped-flow fluorescence, or enzyme kinetics.
• Structural biology background.
• Prior contributions to scientific publications or patents.

Education

• Not specified beyond qualifications listed above.

Additional Requirements

• Travel: Up to 5% domestic and international travel.
• Location: Emeryville headquarters; full-time; office hours 8am-5pm PT.