Associate Scientist, Advanced Characterization

Summary: OmniAb, Inc. is a biotechnology company that provides pharmaceutical partners access to diverse antibody repertoires and advanced screening technologies. They are seeking an Associate Scientist to design and analyze biosensor assays for characterizing antibodies, collaborating with various teams to provide binding data across multiple projects. Responsibilities: - Independently design, execute, and analyze SPR and BLI-based biosensor assays to characterize biomolecular interactions, such as those between antibody and antigen - 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 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 Preferred Qualifications: - 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 Required Skills: SPR platforms, BLI platforms, protein biochemistry Important Skills: kinetic analysis, epitope binning, biomolecular interaction analysis Nice-to-Have Skills: data visualization, communication, problem-solving Benefits: Annual base compensation, Target bonus, Equity, Refresh grants, ESPP, Comprehensive health plans, Immediate 401k matching, PTO, Sick leave, Paid parental leave, Commuter benefits, Wellness stipend, Education reimbursement, And more!