As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it
Job Summary
As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it.
Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success.
The company's mission is to advance human health by building on and beyond the Nobel-winning AlphaFold system, using AI to model complex biological phenomena to help design novel molecules and develop innovative medicines.
Matching Summary
As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it.
Skills & Requirements
Must-have
Deep learning techniques
Linear algebra, calculus, statistics
ML frameworks (JAX, PyTorch, TensorFlow)
Scientific software (NumPy, SciPy, Pandas)
Applying ML research to real-world problems
Nice-to-have
Publications in ML
Interdisciplinary scientific environment
Biological or chemical data experience
ML on accelerators
Large scale deep learning
Key Requirements
PhD or equivalent practical experience
Proven track record in machine learning
Project supervision, leadership, or management experience