We are looking for a Computational Biologist to focus on Computational antibody design, playing a central role in the design and optimization of our therapeutics antibodies, while also conducting multi-omics analysis tasks within the group.
You will: Work closely with our computational biologists multidisciplinary team and with the Antibody discovery functional unit
Drive computational antibody design, applying state-of-the-art computational and AI models to design and optimize multispecific therapeutics antibodies
Act as a scientific liaison with external CROs on antibody design and optimization projects as needed
Explore new methods that expand our computational antibody design capabilities, including making effective use of AI/ML-based tools
Conduct end-to-end broader computational analyses including multi-omics datasets for target analysis, as needed
Communicate scientific results and design rationale clearly to internal and external audiences
Requirements: M.Sc. or Ph.D. in Bioinformatics/Computational Biology/Structural Biology/Protein Engineering, or a closely related field
3-5 years of relevant experience in the biotech or pharmaceutical industry
Hands-on experience in computational methods for Ab developability and optimization: humanization, sequence liabilities, immunogenicity, structural and epitope predictions
Proficiency in protein model tools (e.g., PyMOL)
Familiarity with current, state-of-the-art AI based models for antibody design and sequence optimization
Proficiency in a scripting/programming language for data analysis (e.g., Python), and experience working with foundational models and LLM-based coding agents
Familiar with multi-omics datasets and analysis
Professional Attributes
Strong communication and collaboration skills, and a positive, can-do attitude
Strong analytical and troubleshooting skills
Ability to work independently while contributing effectively in a collaborative team environment
Ability to work effectively in a dynamic, cross-functional research environment
Excellent written and verbal communication skills in English
Advantages
Experience in bispecific and multispecific antibody design
Experience with yeast and phage display libraries
Experience in affinity maturation, antibody humanization, immunogenicity assessment, and developability assessment, including PTM liabilities, aggregation, and stability evaluation
Experience with AI-based applications for antibody optimization and engineering
This position is open to all candidates.