Isomorphic Labs
We are reimagining the entire drug discovery process from first principles with an AI-first approach.
51 - 200
Research Scientist, Machine Learning, London
July 7
🏢 In-office - London
Isomorphic Labs
We are reimagining the entire drug discovery process from first principles with an AI-first approach.
51 - 200
Description
• Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery. • Identify and create novel ML techniques and the required data to train. • Develop the architectures and training algorithms of machine learning models. • Analyze and tune experimental results to inform future experimental directions. • Implement and scale training and inference engineering frameworks. • Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines. • Iterate collaboratively with scientists and domain experts, sharing your own domain experience. • Suggest and engage in team collaborations to meet ambitious research goals. • Depending on your experience: Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise. • Provide developmental support to other ML research scientists. • Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems. Cultivate a diverse and inclusive research culture.
Requirements
• PhD or equivalent practical experience in a technical field. • A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualization. • Strong knowledge of linear algebra, calculus and statistics. • Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. • A passion for applying ML research to real world problems. • Depending on your experience: project supervision, leadership, or management.
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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