Manager, Computational Biology (Early Oncology)

Your work will change lives. Including your own. The Impact You’ll Make As a Manager within Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles. You will lead a team of world-class computational biologists focused on identifying and advancing the next generation of oncology therapeutics. You will act as a "player-coach," balancing direct technical contribution with the mentorship and strategic leadership of a high-performing team. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, and proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies that ensure our medicines reach the right patients. In this role, you will: Lead and Develop: Direct and mentor a team of data scientists and computational biologists, fostering a culture of scientific rigor, bold experimentation, and continuous professional growth. Drive Target Discovery: Lead the design and execution of analyses for target nomination and validation, using Recursion’s platform to identify novel vulnerabilities in cancer biology. Define Early Patient Population Strategy: Develop biomarker strategies and patient-stratification hypotheses to support programs as they progress from nomination through hit-to-lead and lead-optimization. Bridge the Gap: Act as a key "connector," leading your team to pilot innovative analysis methods and collaborating with platform and engineering teams to productionalize and scale these tools for organization-wide impact. Execute Hands-On: Maintain a 50% individual contribution (IC) load, performing complex data integration and analysis to solve "killer questions" within the oncology portfolio. Collaborate Cross-Functionally: Partner with biologists, medicinal chemists, and clinical leads to build compelling data packages that drive program milestones and investment decisions. Present data analysis to external decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients. The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, I&I (immunology and inflammation), and neuroscience and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio. Our team collaborates extensively with computational biologists in other therapeutic areas (neurobiology, immunology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. The Experience You’ll Need PhD in a quantitative field (Computational Biology, Bioinformatics, Statistics, Cancer Biology, etc.) with 5+ years of experience in biotech or pharma industry OR MS in a relevant field and 7+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery. People Management Experience: Proven track record of managing and developing direct reports within a scientific or technical environment. Oncology Domain Expertise: Deep understanding of cancer biology, including experience with biomarker discovery and patient population stratification. Experience with two or more oncology areas; strong understanding of patient genetics and historical druggability of disease relevant pathways Deep expertise in the analysis and data integration of two or more ‘omics data modalities (phenomics, transcriptomics, proteomics,