Director, Computational Biology (Neuroscience)

Recursion
New York, New York; Salt Lake City, Utah$221k – $298kPosted 7 April 2026

Job Description

Your work will change lives. Including your own. The Impact You’ll Make As the leader of Recursion’s neuroscience computational biology team, you will be at the forefront of reimagining neuroscience drug discovery using Recursion’s massive data capabilities. As Recursion continues to grow our work in neuroscience, together with our partners at Roche Genentech, you will have the opportunity to help chart that path. Working alongside world-class biologists, medicinal chemists, engineers, data scientists and ML scientists, you'll guide our computational strategy for target selection and prioritization, patient connectivity, and small molecule program decisions, with the ultimate goal of bringing life-changing therapeutics to patients living with neurological or neurodegenerative disease. In this role, you will: Manage and mentor a team of computational biologists and data scientists dedicated to advancing novel therapeutics in the neuroscience space Identify datasets and computational strategies to inform novel target prioritization and patient connectivity in neuroscience indications Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, and mechanism of action Interpret and discuss data and analysis results with external partners and senior leaders in a clear and compelling way Strategize on ways to standardize and scale our 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 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 The Team You’ll Join You will join a group of data scientists and computational biologists that collaborate with an interdisciplinary collective of biological, computational, drug discovery, and data/machine learning scientists. Our team focus is to leverage our unique combined skillset of scientific and domain expertise together with data analysis and insight generation to drive data-driven decisions in the partnership. To achieve this, we work with many different types of data, understand deeply how they are generated, and design the best analyses to answer key questions in the partnership. These analyses range from data visualizations to ML models to prioritize and advance targets, compounds or programs in our neuroscience partnership with Roche/Genentech. The Experience You’ll Need PhD in a relevant field (computational biology, bioinformatics, neuroscience, cell biology, etc.) with a very strong computational focus and 6+ years of experience in the biotech or pharma industry OR MS in a relevant field and 8+ years experience. Adept and experienced at managing a matrixed / cross-functional team, with care for individual’s career development alongside delivery for drug programs. Demonstrated experience applying computational methods to analyze complex and high-dimensional biological data (images, proteomics, transcriptomics, GWAS, etc.). Exceptional data visualization skills through creation of plots, documentation and presentations. Fluency and experience working with Python and following best software development practices. Track record demonstrating successful application of computational biology methods to advance early stage drug discovery (preference for experience in neuroscience) Exceptional data visualization skills, and ability to clearly explain computational analyses and methodologies to cross-functional and non-technical teams. Owners’ mindset, boldness to learn about new data types and to master new skills. Demonstrated ability to carry and prioritize among multiple projects. Bold, passionate and highly collaborative with experience working in cross-functional teams How You’ll be Supported Training on Recursion’s culture and values through hand-on workshop ... (truncated, view full listing at source)
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