Research Scientist (Machine Learning), London London in Wickham

Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach. We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You will 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.

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.

Your impact will include:

• Contributing to our research directions in machine learning by using your extensive knowledge of the field to apply world‐leading ML algorithms to drug discovery.
• Identifying and creating novel ML techniques and the required data to train.
• Developing the architectures and training algorithms of machine learning models.
• Analysing and tuning experimental results to inform future experimental directions.
• Implementing and scaling training and inference engineering frameworks.
• Reporting and presenting research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines.
• Iterating collaboratively with scientists and domain experts, sharing your own domain experience.
• Suggesting and engaging in team collaborations to meet ambitious research goals.

Depending on your experience, you may also:

• 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.

Skills and qualifications

Essential:

• 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.
• A passion for applying ML research to real world problems.

Nice to have:

• PhD in machine learning or computer science.
• Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or 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 any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real‐world applied RL.

Qualifications:

Senior (5+ years of experience)