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Design, develop, benchmark, and implement advanced AI/ML models (self-supervised and supervised) for biologics discovery and engineering, including protein language models, structure prediction models, de novo design algorithms, and multi-modal approaches that integrate sequence, structure, biological, biochemical, biophysical, and functional data. Collaborate closely with wet lab scientists (primarily based in the UK and US) to guide experimental design, ensure the generation of high-quality, relevant datasets, and curate and manage wet lab data for modeling purposes. Analyze and interpret complex biological data, integrating machine learning with domain knowledge in protein science, biochemistry, biophysics, structural biology, and therapeutics development. Keep abreast of the latest developments in AI, computational biology, and biologics engineering; proactively identi...
About the Role
Key Responsibilities
As an AI Scientist/Senior Scientist, you will:
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