Scientist, Biologics Generation & Analytics

Role Summary

Scientist, Biologics Generation & Analytics

Responsibilities

• Determine Binding Interactions: Conduct experiments to determine binding interactions (including kinetics, competition, and epitope binning) using various binding techniques such as SPR, BLI, and ELISA. Work independently to critically assess and interpret experimental data ensuring accuracy, quality, and validity. Help junior team members design and execute binding studies.
• Design and Execute Experiments: Design experiments tailored to project needs, ensuring alignment with scientific objectives. Troubleshoot any issues that arise, optimizing protocols as necessary.
• Contribute to Program Teams: Represent the analytics team and provide strategic input for binding and pre-developability. Collaborate with program teams to design and implement analytical strategies that meet project goals. Provide scientific input and support to ensure cohesive strategy development and execution.
• Cross-Functional Communication: Effectively communicate findings, results, and strategies with cross-functional teams. Lead binding discussions in team meetings, being a key contributor to program strategy.
• Team Collaboration: Work as an integrated and contributing team member, supporting team objectives and fostering a positive team environment. Share knowledge and expertise to assist in team development and success. Help to foster a collaborative team environment with strong cross-functional communication.

Qualifications

• PhD degree in a scientific discipline (or equivalent), or MS with 6+ years relevant experience, or BS with 8+ years relevant experience
• Experience in SPR, BLI required, Carterra preferred but not required
• Ability to troubleshoot experiments and method development experience required
• Other biophysical capabilities, such as cIEF, CE-SDS, SEC, NanoDSF preferred
• Experience with data aggregation and analysis tools (Spotfire, Prism) preferred
• Be energetic and enthusiastic team player

Education

• PhD in a scientific discipline (or equivalent) or MS/BS with relevant experience as specified in Qualifications