Principal Research Scientist, Isomorphic Labs

• PhD (or equivalent) and significant further academic or industry research experience in a highly related technical field (machine learning or drug discovery)
• A consistent track record of credible machine learning research using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation
• Experience with project supervision, leadership, or management
• Experience with people management
• Solid understanding 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
• Grounded and original problem solver: Combines the best from industry with new ideas and creative approaches, taking well-informed risks to advance progress
• Motivated by purpose and impact: Self-directed, chooses the most effective path to maximise impact in pursuit of higher level purpose, operates at pace with a clear bias for action
• Experimental: Comfortable with ambiguity, embraces new ideas, responds quickly and adapts to maximise opportunities
• Collaborative and inclusive: Willing to go the extra mile, works beyond role remit and builds strong partnerships with a variety of collaborators
• Curious mentality: Strong interest in self-development, learns from setbacks as well as successes

Desirable

• You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power our platform to transform the drug discovery world as we know it
• Operating in a highly creative, fast-paced and interdisciplinary environment
• Partnering with leading engineers and scientists to conceive, design, and develop pioneering machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success
• You will draw upon your existing deep research and leadership experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology ,chemistry, and medical research problems
• As a senior member of the ML research team, you will be creating and leading projects - bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs
• Contribute to our research directions in machine learning by using your extensive knowledge of the field to create world-leading ML algorithms for drug discovery
• 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 people management and developmental support to other ML research scientists
• Identify and create ML techniques and the required data to train
• Develop the architectures and training algorithms of machine learning models
• Analyse and tune experimental results to advise future experimental directions
• Iterate collaboratively, report and present research findings with scientists and domain experts, sharing your own demonstrated ability
• Suggest and engage in team collaborations to meet high-reaching research goals
• 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

Total funding: $600m

The discovery of new drugs is essential for medical innovations, but the process is lengthy, high-risk, and expensive. This is due to manual research and analysis processes that are prone to human error and time-consuming workflows, raising the question as to whether AI could reduce these pitfalls.