Our client is committed to become a global leader in the discovery, development, and commercialization of innovative, molecularly-targeted, and immuno-oncology drugs for the treatment of cancer.
Design and construct novel bispecific antibodies and related molecules with the combination of molecular modeling tools and in-depth understanding of the target biology；
Express, purify and biophysical characterize these molecules；
Design and implement functional and cell-based assays to support antibody engineering efforts ；
Present data at group and inter-departmental meetings with scientific rigor；
Oversee daily operations of a small group of scientists, including sequence and structure-based analysis and modeling, sequence optimization, affinity maturation, humanization, multiple specific antibody design, generation and characterization；
Identify and implement new technologies/platforms to improve the quality and speed of antibody engineering process to meet department and company goals；
Develop novel technologies/platforms including multispecifc platforms;
Build strong working relationships with fellow BeiGene colleagues, key external advisors and collaborators.
PhD in Biochemistry/Molecular Biology/Structural Biology or related; disciplines with at least 3-5 years post-doctoral or industrial experience
Experience in protein/Ab engineering, structural biology and bispecific antibody design and engineering with a proven track record of innovative solutions;
Broad knowledge in a variety of protein engineering platforms and technologies;
Broad knowledge in disease biology and strong background in immunology, T cell biology and cancer biology;
Experience in T cell assay development, including isolation of T cells from whole blood, T cell activation and cytokine profiling assays, T cell transduction, co-culture assays, T cell cytotoxicity assays, and cell proliferation assays;
Knowledge in development of in vivo mouse models and subsequent analysis, including but not limited to tumor phenotyping is a plus;
Excellent written and verbal interpersonal skills and effective presentation of complex scientific data to cross-functional and senior management teams are critical for this role.