Senior Scientist, Computational Biology or Computational Oncology

Your work will change lives. Including your own. 

The Impact You’ll Make

As part of Recursion's internal pipeline team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data capabilities. You will be the primary computational lead on one or more internal drug/clinical programs with the freedom and support to collaboratively define and execute a research program to bring promising discoveries from early-stage hit-identification to pre-clinical development. Working alongside world-class biologists, medicinal chemists, engineers, data scientists and ML scientists, you'll design experiments, develop new methods, analyze and interpret results and inform key program decisions with the ultimate goal of bringing life-changing therapeutics to patients.   

• Discover and develop new analytics and workflows for leveraging Recursion’s unique capacity to perform >1 million experiments per week for target ID, program nomination and machine learning (ML)-enabled biomarker development. Work on complex biomarker development for novel therapeutics in areas such as colorectal cancer, breast cancer, and others. 
• Deliver new computational approaches and therapeutic programs into Recursion’s pipeline. Iterate quickly to move from ideation to validation on multiple projects at an accelerated pace.  
• Industrialize approaches and analyses to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have.
• Synthesize diverse datasets (internal and external) to accelerate insight- and program-generation from Recursion’s phenomics data. Strategically design experiments and define novel datasets that will advance our capabilities and answer critical questions for drug discovery. 
• Collaborate cross-functionally with Recursion’s data science and ML teams to further advance Recursion’s ability to interpret and translate large-scale phenomics data into therapeutic programs.

Location:

This is a hybrid position based at our headquarters in Toronto, Canada. Relocation assistance is available for qualifying candidates.

The Team You’ll Join 

We are building an interdisciplinary group centered on machine learning and inference-based discovery of drug programs from first principles. Close collaboration between computational biologists across multiple therapeutic areas (primarily oncology) and with data scientists on the core build teams provides a strong network of feedback and support in setting timelines, refining ideas, automating repetitive workflows, piloting, productionalizing and more. Our group is a bold, agile, diverse collective of biological, computational, drug discovery, and machine learning scientists deeply focused on the singular goal of bringing new therapeutics to patients at an accelerated pace. You will collaborate extensively with data scientists, chemists, engineers, commercial strategists, and biologists throughout the organization to advance milestones and provide insights to further advance Recursion’s capabilities. Essential attributes to this role include a bold, execution-first attitude and passion for deploying rigorous science to bring life-changing therapies to patients. 

The Experience You’ll Need

• PhD in a relevant field (computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, etc.) with 3+ years of experience applying professional competencies to fundamental problems in oncology or drug discovery 
• Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze complex biological and/or human clinical data
• Fluency and experience working with high-level programming language such as Python or R for complex data analysis
• General understanding of small molecule drug discovery and pharmacology
• Efficiency in advancing drug-discovery projects, carrying and prioritizing among multiple projects and efficiently advancing projects to proof of concept
• Experience in efficiently advancing drug program projects from proof of concept to preclinical. Industry oncology drug discovery experience preferred
• Bold, passionate and highly collaborative with experience working in cross-functional teams
• Ability to clearly explain computational biology analyses and methodologies to cross-functional and non-technical teams.
• Exceptional data visualization skills through creation of plots, documentation and presentations.

Nice To Have:

• Experience designing high throughput experiments to address biological questions, either on your own or i