Senior Data Scientist, Bioinformatics - Toronto

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 supporting the development of our scaled transcriptomics capabilities, you’ll be designing, building, testing and deploying both development and production NGS analysis workflows. 

In this role, you will leverage this data as you:

• Develop methods, metrics, benchmarks, models and workflows to help drive drug discovery in a standardized way
• Build scalable production bioinformatics workflows to support our NGS assays
• 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 flows
• Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term
• Learn to leverage new code packages and data science techniques as needed

Location:

This position is based at our headquarters in Toronto, or at one of our offices in Salt Lake City or London.  

The Team You’ll Join

You will be joining a platform development and workflows team that specializes in development of scaled transcriptomics at Recursion as part of our Operating Systems Hub. This data science team is part of a larger cross-functional team that includes biologists, automation engineers, and software engineers collaborating to industrialize our largest transcriptomics platform at Recursion. We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters.  We focus on the impact that we are trying to make and the “why” of what we are trying to deliver and are resilient if the “how” of what we are doing needs to change.

The Experience You’ll Need

• 3+ years of experience building bioinformatics workflows for next-generation sequencing (NGS) analysis, preferably in an industry setting. 
• Experience analyzing NGS data to develop, optimize, or support an NGS assay
• Experience building and maintaining scaled production analysis workflows, bioinformatics workflows a plus
• Experience with professional software development using best practices including version control (e.g. git) and code review
• High fluency in Python and data science libraries
• Experience creating effective visualizations in Python
• RNAseq bioinformatics experience a plus

How You’ll be Supported

• Onboarding support from a teammate acting as your “trail guide” for the first several weeks to aid in getting up to speed with Recursion systems and infrastructure
• Receive real-time cross-functional feedback from your team including code review, weekly manager 1:1s, and cross-functional team meetings
• Opportunity to attend annual conferences aligned with existing expertise and career development goals

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