Research Scientist, Life Sciences (Large Molecules, Antibody Design)
Core
Research scientist leading end-to-end therapeutic antibody programs, closing the loop between AI-generated hypotheses and experimental data to advance biological discoveries.
Role type
Senior IC research scientist (therapeutic antibodies)
Builds
Therapeutic antibody candidates for IND-enabling studies and clinical development
Domain
Life Sciences / Biotechnology / Antibody Engineering
Required skills
therapeutic antibody discovery and engineering, target and epitope selection, format selection (IgG, Fab, scFv, VHH, bispecific), humanization, affinity maturation, Fc engineering, candidate selection, screening cascade design (binding kinetics, epitope binning, cross-reactivity), cell-based functional assays, developability assessment (expression, aggregation, polyreactivity, stability, immunogenicity), in vivo pharmacology, pharmacokinetics, toxicology, CMC knowledge, antibody production and characterization, in vitro and in vivo study coordination, AI-designed antibody evaluation, data documentation and analysis
Preferred skills
advancing antibody programs to IND-enabling studies or clinic, directing antibody production and assays at CROs, structural biology, computational protein design, Python for data analysis, AI/ML tools in life sciences, publications and patents
Technologies
SPR, BLI, Python, AI/ML tools
Responsibilities
Design and engineer therapeutic antibodies; define screening cascades for binding, functional, and developability assays; plan path to IND-enabling studies; coordinate production and studies with external partners; evaluate AI-designed antibodies; ensure high-quality data documentation; communicate findings to biology, AI, and life sciences teams
Seniority
Senior, hands-on IC
