Research Scientist, Machine Learning
We're reimagining drug discovery through a computational- and AI-first approach.
Our mission is to accelerate the speed, increase the efficacy and lower the cost of drug discovery.
You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.
Your impact will be felt across disciplines as you partner with leading engineers and scientists to conceive, design, and develop cutting-edge machine learning algorithms.
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 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.
You will identify and create novel ML techniques and the required data to train. Develop the architectures and training algorithms of machine learning models. Analyse and tune experimental results to inform future experimental directions.
Skill 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 visualisation.
* 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.
Culture and values:
We are guided by our shared values: Thoughtful, Brave, Determined, and Together.
We believe that to be successful we need our teams to reflect and represent the populations we are striving to serve.
We value diversity of experience, knowledge, backgrounds and perspectives, and harness these qualities to create extraordinary impact.