Senior Machine Learning Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We created 13 petabytes of fit-for-purpose biological data. Want to work with it?

At Recursion, our mission is to decode biology to radically improve lives by industrializing drug discovery. This mission includes building the most scalable drug discovery platform in the history of the BioPharma industry with a combination of biological and laboratory expertise, automation engineering, and state-of-the-art computational tools. To this end, we have generated and continue to grow one of the largest biological datasets in existence in our labs—images of billions of cells under millions of biological and chemical perturbations, and a growing dataset of transcriptional profiles generated by next-generation sequencing.

Our team is working to solve some of the hardest, most meaningful problems facing human health today. With treatments for hundreds of diseases in our sights, we’ve built a data science team with domain expertise in computer science, physics, biology, mathematics, applied statistics, and more. Together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. Come join us in our mission to decode biology to radically improve lives, while doing the most impactful work of your life.

It is an audacious goal, but it isn’t science fiction. ??It’s something we’re already doing.

The Impact You’ll Make

• Design, train and evaluate models. You will solve challenging drug discovery problems by designing fit-for-purpose ML and statistical models and data splits from our massive in-house datasets – more than 13PB of cellular image data, and growing chemical, transcriptomic, and proteomic datasets – and training these models using our on-premise NVIDIA A100 superpods. You’ll collaborate with biologists, chemists, automation engineers, data engineers, and other scientists to refine these models, possibly generating more data in the process, until they provide a reliable productionized solution.
• Create maps of biology. You will be an essential part of achieving Recursion’s mission to decode biology and radically improve lives by turning our massive datasets into maps of human disease biology that allow drug hunters to quickly and accurately navigate to optimized small molecule therapies for hundreds of diseases.
• Share your work. You will represent Recursion to the scientific community by presenting your work at top conferences and publishing in top scientific journals.
• Define excellence in execution. You will use your technical knowledge to set a high standard of delivery, impact, learning, and growth across teams at Recursion.

The Team You’ll Join

As a member of the Montreal office at Mila, you will join with other ML scientists and engineers to design and apply state-of-the-art ML methods to solve challenging drug discovery problems. You’ll work cross-functionally with Recursion teams in Salt Lake City and Toronto to accomplish Recursion’s mission. And as a member of the Mila community, you will have the opportunity to participate in Mila events such as lectures and reading groups, and collaborate with professors, postdocs and students on projects of mutual interest and benefit.

The Experience You’ll Need

• PhD in Computer Science or related quantitative field or the equivalent practical experience.
• 2+ years of hands-on experience applying modern machine learning methods to solve real-world problems.
• Experience applying modern ML and statistical methods to large datasets and reasoning about the outcomes. Experience with microscopy/biomedical imaging data, chemical data, or genomic data is a plus. A working knowledge of the drug discovery process is a huge plus.
• Extensive experience using modern technologies to accelerate machine learning (e.g. PyTorch, TensorFlow/Keras, Horovod, etc)
• Outstanding past projects, publications, and presentations, and a demonstrated ability to communicate results to cross-functional stakeholders.
• Curiosity and the professional skill-set to excel in an open, highly collaborative environment.