Data Scientist role at Novo Nordisk focused on AI/ML and biologics design. Involves developing computational solutions for drug discovery targeting chronic diseases like obesity.
Responsibilities
Development, validation, and implementation of innovative computational methods and workflows that enable high quality design of peptides, proteins, antibodies, and other complex biologics
Contributing to the development of our internal modelling and design platforms and relevant computational infrastructure
Evaluating, onboarding and optimising external tools for our use cases
Work collaboratively with your colleagues to develop machine learning models that can be used to optimise biologics candidates
Supporting modelling scientists within the DCD area to build and apply tailored workflows for research projects
Requirements
PhD (or equivalent) in Computational Biology, Bioinformatics, Structural Biology, Protein Engineering, Machine Learning, or related field; or Master’s degree with 3+ years of relevant industrial experience.
Demonstrated track-record developing computational methods for proteins/biologics (e.g. protein/antibody design, property prediction, structure based design, developability assessments), evidenced by publications, preprints, patents, open-source libraries, or project outcomes
Strong experience in ML and deep learning method development and Python programming, applied to biological problems
Good understanding of protein sequence, structure, function, possibly in relation to therapeutics discovery and design
Experience with protein design and data-driven ML optimisation is a plus
Experience in usage of HPC and cloud solutions (AWS, Azure, or similar)
Good interpersonal skills: communication, group work, goal-oriented
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