Data Scientist, Digital Chemistry

The Impact You’ll Make

With treatments for hundreds of diseases in our sights, we’ve built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist with a digital chemistry focus, you will design and build chemistry analysis, models and workflows. In addition, you will be a part of a multidisciplinary team that will support you in advancing your projects from idea to a deployed solution that will help Recursion advance drug candidates. In this role, you will:

• Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel
• Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way
• Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates
• Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way
• Collaborate with engineering teams to mature your models and analyses and put them into productionized workflows
• Deliver quickly and iteratively, both supporting ad-hoc requests and building improvements for the long-term in agile workstreams
• Learn to leverage new code packages and data science techniques as needed

Location:

Making Toronto, Canada your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah office as well

| Expected to be on-site 50% of the time.

The Team You’ll Join 

Our purpose is to build, test, support, and improve the Machine Learning (ML) models that drive RecursionOS. Our scope of work is vast, including the development of benchmarks, the refinement of our models and maps, and supporting their widespread adoption across the organization.

Our goal is to foster continuous, hypothesis-driven improvements inspired by experimental outcomes. This will be achieved by establishing robust ML operational practices that accelerate model development, testing, and deployment. We will work with all Recursion scientists to develop a clear understanding of our models, uncover new biology & chemistry, make meaningful predictions, and profile the applicability of our methods. Identifying performance gaps and model limitations will inspire new benchmarks, data sources, representations, model architectures, and training strategies.

The Experience You’ll Need

• 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations
• 2+ years of experience in the field of digital chemistry (particularly medicinal chemistry)
• Experience participating in projects that routinely call for cross-disciplinary collaboration, involving the communication of complex theories and techniques to audiences with a range of technical background
• High fluency with the Python data science stack and chemistry specific libraries
• Experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation
• Experience in collaborative software development and peer code review, including version control tools like git
• Experience working within a fast-paced interdisciplinary team to solve business-relevant problems
• Nice to have: experience training deep learning models with ML libraries like pytorch, tensorflow, etc.Nice to have: experience developing, releasing, and maintaining data products in a continuous-use production environment

How You’ll be Supported

• You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems
• Regular 1:1s with supervisor provides opportunities for support and feedback
• Receive real-time feedback on code quality and best practices from a team of peers
• Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science
• Option to publish research and/or attend conferences to learn more from colleagues, networks, and more to better your skillset.

#LI-EP1

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is:

• Developing: $187,000 CAD
• Skilled: $198,000 CAD
• Expert: $208,000 CAD

To learn more about our level within levels, click here.

You will also be eligible for bonuses and equity compensation + our comprehensive benefits package for United States based candidates. The range displayed on each job posting reflects target ranges for US new hire salaries and is determined by job, level, and market factors.  

During the interview selection process, you will connect with a Talent Acquisition Partner who will be your advocate and ally to ensure you receive the appropriate compensation that meets your needs for your skills, experience, and relevant education/training, while also reviewing our very competitive total rewards package.