Senior Data Scientist - Antibody Design

Category: Data & AI

Location:Måløv, Capital Region of Denmark, DK

• Engaging directly to laboratory scientists in Recombinant Drug Discovery for optimization of workflows that integrate bulk and single B cell sequencing from in vivo immunization with in vitro antibody and VHH library design
• Driving innovative and creative solutions to design novel antibodies or VHHs in collaboration with other departments, while supporting research projects within the antibody and VHH area.
• Identifying potential liabilities and developability issues throughout the antibody discovery pipeline.
• Coordinating the development of the relevant computational infrastructure for ingesting, analysing, and exposing the information from sequencing and other data sources
• Utilizing existing tools or develop new ones to design and engineer antibody variants with enhanced functionality.
• Integrating experimental results with computational models to expedite the antibody discovery process.
• Working collaboratively with your colleagues to develop machine learning models that can be used to optimize antibody candidates.
• Staying up to date with the latest developments in computational biology and antibody/VHH design.
• Documenting and effectively communicating the discovery and innovation process to key stakeholders and managers.
• Encouraging, proposing, and participating in projects boosting the use of advanced computational techniques for antibody and VHH design.

• Master’s degree within Computational Biology, Bioinformatics, Machine Learning, or a related field
• At least 3+ years of experience in clinical or industrial antibody/VHH development. More experienced scientists are also encouraged to apply. Ph D preferred.
• Deep understanding of antibody or VHH sequence, structure, function, and their development in an industrial setting.
• Previous knowledge of NGS sequencing analysis and preferably Rep Seq, antibody sequencing, or TCR sequencing is a must.
• Solid experience with relevant computational tools, including but not limited to Python programming, molecular modelling and simulations (Rosetta, Schrödinger, or similar), sequence analysis, and data analysis frameworks.
• Experience in usage of HPC solutions (AWS, Azure, or similar).
• Full proficiency in English, with knowledge of Danish being a plus.