Associate Director, Computational Biology – Early Discovery

<div class="content-intro"><h2>Your work will change lives. Including your own. </h2> <p><iframe style="width: 655px; height: 367px;" src="https://www.youtube.com/embed/NzerLX6koWI?si=KaDRt0AYxcwmtZus" width="655" height="367"></iframe></p></div><p><strong>The Impact You’ll Make</strong></p> <p>As an Associate Director within Recursion’s early discovery 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 targets and therapeutics to fill our internal pipeline. 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, genomics, proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs.</p> <p>This is a highly collaborative role: you will partner with biologists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery in oncology and immunological diseases. The ideal candidate has strong stakeholder management, technical communication, and 3+ years biotech or pharma experience in early drug discovery. </p> <p><strong>In this role, you will:</strong></p> <ul> <li><strong>Drive Target Discovery: </strong>Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in disease biology</li> <li><strong>Lead </strong>and<strong> </strong>mentor a team of data scientists and computational biologists, fostering a culture of scientific rigor, bold experimentation, delivery, and continuous professional growth. </li> <li><strong>Pilot</strong> novel methods for target discovery, disease biology validation, and early patient population hypotheses to send programs into nomination cascades</li> <li><strong>Define</strong> internal criteria for target data packages and early patient population strategy</li> <li><strong>Connect</strong> your team’s innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones</li> <li><strong>Collaborate</strong> cross-functionally: Partner with biologists, medicinal chemists, translational, and clinical leads to build compelling data packages that drive program milestones and portfolio investment dec