Director, Computational Biology (Neuroscience)

Role Summary

Director, Computational Biology (Neuroscience) leads Recursion’s neuroscience computational biology team and helps reimagine neuroscience drug discovery using Recursion’s data capabilities. In collaboration with Roche and Genentech, you will help chart the path for neuroscience programs and guide the computational strategy for target selection, patient connectivity, and small molecule program decisions to bring life-changing therapeutics to patients with neurological or neurodegenerative diseases. You will work alongside world-class biologists, medicinal chemists, engineers, data scientists, and ML scientists to advance data-driven decisions and scale impact. This role emphasizes mentorship, dataset synthesis, and cross-functional collaboration to translate large-scale phenomics data into therapeutic programs.

Responsibilities

• 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

Qualifications

• 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 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

Education

• 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

Skills

• Data visualization
• Python programming and software development practices
• Strong communication of analyses to cross-functional teams
• Experience translating large-scale phenomics data into therapeutic programs

Additional Requirements

• Working Location: Salt Lake City, Utah or New York City. Hybrid environment with 50% time in the office.