Senior Scientist

Senior Scientist, Molecular Interactions

Discovery Biologics, Antibody Generation, Molecular Discovery

• Master's degree or PhD(preferred) in biophysics, biochemistry, chemistry, molecular biology, protein sciences, biomedical engineering, or a related field.
• Master's degree with minimum 5years of hands-on experience or PhD(preferred) with minimum 3years of hands-on experience.
• Strong foundation in biomolecular interactions and protein characterization.
• Hands on experience with one or more interaction analysis platforms, such as SPR, Carterra, Biacore, BLI, KinExA, or related technologies.
• Experience analyzing kinetic and affinity data for interactions between proteins.
• Demonstrated ability to troubleshoot experiments, interpret complex data, and deliver high quality results within defined timelines.
• Excellent written and verbal communication skills, with the ability to work effectively in a collaborative, multidisciplinary environment.

• Experience supporting therapeutic antibody, multispecific, or other biologics discovery programs in an industry setting.
• Experience with epitope binning, competition assays, cell binding characterization, receptor pharmacology, or develop ability assessment.
• Knowledge of antibody engineering, Fc biology, and relationships between protein structure and function.
• Familiarity with laboratory automation, high throughput screening workflows, and data analytics.
• Programming or data science experience using Python, R, Spotfire, or similar tools.
• Ability to become productive quickly in a fast paced, matrixed research environment.
• Consistent delivery of high quality molecular interaction data for prioritized discovery studies.
• Timely analysis, documentation, and communication of results, including clear conclusions and data quality assessments.
• Improvement or standardization of assay, analysis, or reporting workflows where opportunities are identified.
• Complete transfer of protocols, data packages, analysis templates, and recommendations at the conclusion of the assignment.

The successful contractor will be a hands on, scientifically rigorous, and collaborative researcher who can rapidly integrate into the team, independently execute well controlled studies, and deliver reliable data that support near term program decisions. Success in this assignment will be measured by quality, timeliness, reproducibility, clear communication, and effective knowledge transfer.

We are seeking a highly motivated scientist with a PhD for a six month contract assignment in the Molecular Interactions group within Discovery Biologics based in South San Francisco, CA. The contractor will provide hands on experimental and data analysis support for active biologics discovery programs, with an emphasis on generating timely, decision enabling data on binding, kinetics, avidity, epitopes, competition, and develop ability.

The successful candidate will work closely with scientists in antibody discovery, protein sciences, computational biology, develop ability, and project teams. This role is focused on execution and requires the ability to contribute quickly through sound experimental design, reliable assay delivery, clear data interpretation, and practical workflow improvements.

• Design, execute, troubleshoot, and interpret molecular interaction studies that support hit identification, lead optimization, and candidate selection.
• Generate and analyze binding affinity, kinetics, avidity, epitope binning, competition, and develop ability data for antibodies, bispecifics, and other biologic modalities.
• Coordinate with project scientists to define assay plans, prioritize samples, and deliver results according to program timelines.
• Document methods, results, and conclusions accurately in electronic systems, reports, and presentation ready summaries.
• Communicate data, technical risks, and recommended next steps clearly to project teams and stakeholders.

• Operate interaction analysis platforms such as SPR, high throughput SPR using Carterra, BLI, flow cytometry, and related technologies.
• Optimize established assay formats and workflows to improve throughput, robustness, data quality, and…