Sr. Scientist, Antibody Discovery and Engineering

Here's What You'll Do

• Contribute to integrated antibody discovery and engineering campaigns, with primary responsibility for experimental protein and antibody engineering workstreams from design and library strategy through selection, characterization, optimization, and lead identification.
• Design, build, and execute yeast surface display workflows for antibody discovery and engineering, including library design and construction, FACS-based selections, affinity maturation, specificity and cross-reactivity optimization, and multi-parameter lead enrichment.
• Partner closely with computational protein design, bioinformatics, structural biology, and antigen design teams to translate in silico designs, sequence/structure hypotheses, and model predictions into experimentally testable constructs or libraries, and to use experimental results to inform subsequent design cycles.
• Apply molecular biology and protein engineering approaches including cloning, mutagenesis, sequence analysis, construct design, format conversion, expression, and purification across IgG, Fab, scFv, VHH, bispecific/multispecific, T cell engager, TCR engager, CAR-related, and other therapeutic formats.
• Characterize engineered candidates using biochemical, biophysical, display-based, and functional assays to assess binding, affinity, specificity, epitope diversity, expression, stability, developability, potency, and mechanism of action as appropriate.
• Analyze yeast-display selection data, sequence and NGS datasets, and orthogonal characterization data to identify structure-function relationships, nominate follow-up variants, and support data-driven lead selection.
• Independently formulate hypotheses, design complex experiments, troubleshoot technical challenges, and adapt experimental approaches to address critical program questions and scientific risks.
• Evaluate and implement new antibody/protein engineering methods, display technologies, and analysis approaches that can strengthen discovery quality, throughput, or molecular optimization.
• Communicate experimental plans, results, and recommendations clearly to cross-functional scientific teams and contribute to technical reports, project updates, and presentations.
• Coordinate effectively with internal collaborators and external partners, and provide scientific guidance or mentorship to research associates or junior colleagues as appropriate.

Here's What You'll Need (Basic Qualifications)

• PhD in protein engineering, molecular biology, biochemistry, immunology, cancer biology, or a related discipline, with 2+ years of relevant post-PhD industry experience in antibody discovery, protein engineering, antibody engineering, or biologics discovery.
• Strong hands-on experience with yeast surface display for antibody or protein engineering, including library design/construction, FACS-based screening or selection, affinity maturation, and/or specificity optimization.
• Strong technical foundation in antibody/protein structure-function relationships and the application of engineering approaches to improve binding, specificity, stability, expression, developability, or molecular format.
• Demonstrated experience collaborating with computational protein design, bioinformatics, structural biology, or related teams to translate computational/design hypotheses into experimental constructs or libraries and to provide experimental feedback that informs iterative design.
• Strong molecular biology and protein engineering skills, including cloning, mutagenesis, library construction, sequence analysis, expression construct design, protein/antibody expression, purification, and analytical characterization.
• Experience analyzing sequence-rich datasets generated from display selections or screening campaigns; familiarity with NGS-based library or repertoire analysis is strongly valued.
• Experience with antibody/protein characterization methods such as affinity determination, epitope binning, competition assays, specificity profiling, developability assessment, Biacore, Carterra, Octet, ELISA, MSD, flow cytometry, or related technologies.
• Demonstrated ability to independently design, execute, interpret, and troubleshoot complex experiments and to draw clear conclusions and next steps from multidisciplinary datasets.
• Experience working effectively across multidisciplinary teams and integrating experimental results with structural, computational, biochemical, and/or functional data.
• Ability to contribute to multiple projects simultaneously, coordinate experimental priorities and timelines, and communicate scientific risks, tradeoffs, and recommendations to project stakeholders.
• Excellent analytical, organizational, written, oral, and interpersonal communication skills, with the ability to present complex scientific findings clearly to diverse scientific audiences.
• Collaborative, proactive, resourceful approach to working in a fast-paced, cross-functional, matrixed research environment.

Here's What You'll Bring to the Table (Preferred Qualifications)

• Additional experience with advanced yeast or mammalian display approaches, including focused or combinatorial library design, deep sequencing, multiplexed selections, or high-throughput variant characterization.
• Experience working in iterative computational/experimental protein design workflows, including structure-guided design, de novo protein or binder design, AI/ML-enabled design tools, or developability prediction platforms.
• Experience engineering advanced antibody-based therapeutic formats such as T cell engagers, TCR engagers, bispecific or multispecific antibodies, ADCs, CAR-T or CAR-NK-related formats, or other non-canonical architectures.
• Experience with immunization-based or B cell-based antibody discovery, including antigen strategy, single-cell screening, sequence recovery, or repertoire analysis.
• Familiarity with functional cell-based assays, immune-cell biology, primary-cell assays, or immune-cell redirecting therapeutic mechanisms.
• Experience applying antibody or protein engineering approaches across oncology, autoimmune, infectious disease, or other therapeutically relevant areas.
• Track record of scientific impact through therapeutic discovery programs, publications, patents, presentations, implementation of new engineering technologies, or mentorship of junior scientists.

Our Working Model

This role is 100% onsite, reflecting the importance of being physically present to support the work, collaborate closely with colleagues, and contribute to our site-based operations.