Senior Scientist, Computational Oncology

• 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
• Deliver multiple new computational approaches and therapeutic programs into Recursion’s oncology pipeline and 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 to 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

• PhD in a relevant field (bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, etc.) with 2+ years of experience applying professional competencies to fundamental problems in oncology drug discovery within the pharma/biotech industry
• 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)
• 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
• Experience in efficiently advancing drug program projects from proof of concept to preclinical. Industry oncology drug discovery experience preferred
• Understanding of current state of cancer therapeutic development and ability to drive scientific strategy
• Demonstrated ability to carry and prioritize among multiple projects and program teams
• Bold, passionate and highly collaborative with experience working in cross-functional teams
• Exceptional data visualization skills

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