Computational Biologics Design – Associate Principal Scientist
Core
Lead in silico design for biologic therapeutics (antibodies, VHHs, proteins) using AI and computational structural biology to advance oncology, respiratory, and cardiovascular pipelines.
Role type
Associate Principal Scientist, Computational Biologics Design (via careerplan.io/jobs/R-260984-1-computational-biologics-design-associate-principal-scientist-at-astrazeneca)
Builds
Robust structural analytics workflows and integrated data capabilities for protein design and optimization
Domain
Biopharmaceuticals / Computational Structural Biology / AI for Drug Discovery
Deliverable
production ML models
Required skills
Computational structural biology, Generative AI/Machine Learning/Deep Learning for protein design, Structural modeling platforms (Schrodinger, Rosetta), Antibody discovery & optimization, Data analysis of structural/sequence/experimental datasets, Scientific communication
Preferred skills
FAIR data principles, Analysis of large-scale structural and experimental datasets
Technologies
Schrodinger, Rosetta
Responsibilities
Own computational strategy for therapeutic programs, Co-develop scalable structural analytics workflows, Integrate next-generation computational tools, Drive AI-driven design and optimization of proteins/VHHs/antibodies, Participate in external strategic collaborations, Mentor colleagues on computational best practices
Seniority
Associate Principal, hands-on IC with strategic influence
