Scientist/Sr. Scientist, Computational Oncology

Your work will change lives. Including your own. 

The Impact You’ll Make

As part of the Computational Oncology team, you will be at the forefront of reimagining oncology drug discovery from first principles using Recursion’s massive data capabilities. You will have the freedom and support to lead multiple computational and/or therapeutics projects from launch to preclinical development, with the ultimate goal of bringing life-changing therapeutics to patients living with cancer.  

• Discover and develop new analytics and workflows for leveraging Recursion’s unique capacity to perform >1 million experiments per week for oncology 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 oncology 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 position is based at our headquarters in Salt Lake City, UT.

The Team You’ll Join 

We are building an interdisciplinary, modern oncology group centered on machine learning and inference-based discovery from first principles. Close collaboration between computational biologists across therapeutic areas 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 cancer 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 cancer therapies to patients. 

 

The Experience You’ll Need

Scientist, Computational Oncology

• Training in applying scientific methods in context of advanced post-graduate degree in a relevant field (PhD preferred) 
• Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze complex biological and/or human clinical data
• Demonstrated experience mining and integrating large multimodal datasets to identify targets and/or pathways relevant to drug discovery in cancer (familiarity with oncology relevant datasets preferred)
• Efficiency in advancing drug-discovery projects, carrying and prioritizing among multiple projects and efficiently advancing projects to proof of concept
• Fluency and experience working with high-level programming language such as Python or R for complex data analysis
• Exceptional data visualization skills
• Bold, passionate and highly collaborative with experience working in cross-functional teams

Sr. Scientist, Computational Oncology

• PhD in a relevant field (bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, etc.) with 3+ years of experience applying professional competencies to fundamental problems in oncology drug discovery 
• General understanding of small molecule drug discovery and pharmacology
• Experience in efficiently advancing drug program projects from proof of concept to preclinical. Industry oncology drug discovery experience preferred

Nice To Have:

• Experience designing high throughput experiments to address biological questions, either on your own or in collaboration with bench scientists
• Experience analyzing data from imaging- and/or genomics-based modalities