Overview
We’re looking for aResearch Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.
This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.
This role will off you
* Work at the intersection of AI and life sciences with high-impact applications.
* Hybrid working (3 days per week in the London office).
* A collaborative, inclusive culture with opportunities for growth and leadership.
What you’ll do
* Design and develop novel ML models and algorithms.
* Apply deep learning and generative modelling to complex scientific problems.
* Collaborate with experts across biology, chemistry, physics, and engineering.
* Analyse, tune, and optimise experimental results.
* Depending on experience: lead projects, mentor others, and shape research strategy.
What you’ll bring
* PhD (or equivalent experience) in ML, computer science, or a related field.
* Proven expertise in deep learning research and model development.
* Strong knowledge of mathematics (linear algebra, calculus, statistics).
* Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
* A passion for applying ML to real-world scientific challenges.
Nice to have
* Experience working with biological or chemical data.
* Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.
* Contributions to publications, research projects, or open-source ML.
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