Research Scientist (Machine Learning), London

The role

You will build greenfield machine learning models and algorithms to power a drug discovery platform. You will partner with engineers and scientists to design cutting edge algorithms and apply novel techniques to computational biology and chemistry problems.

What you will do

• Contribute to research directions in machine learning using ML algorithms for drug discovery.
• Identify and create novel ML techniques and required training data.
• Develop architectures and training algorithms of machine learning models.
• Analyse and tune experimental results to inform future directions.
• Implement and scale training and inference engineering frameworks.
• Report and present research findings to ML scientists and other disciplines.
• Iterate collaboratively with scientists and domain experts.
• Suggest and engage in team collaborations.
• Provide technical mentorship and guidance to the ML research community.
• Create, lead, and run ML research projects.

Required qualifications

• PhD or equivalent practical experience in a technical field.
• Proven track record in machine learning using deep learning techniques.
• Strong knowledge of linear algebra, calculus and statistics.
• Experience using ML frameworks such as JAX, PyTorch, or TensorFlow.
• Experience using scientific software such as NumPy, SciPy, or Pandas.
• A passion for applying ML research to real world problems.
• Project supervision, leadership, or management depending on experience.

Nice to have

• PhD in machine learning or computer science.
• Post doctoral roles.
• Proven track record of publications.
• Contributions to machine learning codebases.
• Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics).
• Experience working with biological or chemical data and biological or chemistry software.
• Experience working with real-world datasets.
• Experience with ML on accelerators.
• Experience in large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, or real-world applied RL.

About the company

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. The company uses AI to model complex biological phenomena to help design novel molecules and develop innovative medicines.