- Advance frontier AI research for biomedical discovery.
- Develop end-to-end applications across drug discovery, design, and translation.
- Work with a cross-functional team of scientists, engineers, and drug hunters.
Machine LearningNLPComputer Vision
Recursion provides analytic data tool solutions such as recursion analyzers, mortgage company data and data cloud.
This company offers remote work opportunities.
Recursion is a clinical-stage TechBio company decoding biology to radically improve lives. We integrate automated cell biology, high-dimensional data, and advanced analytics to redefine drug discovery. Our mission is to industrialize drug discovery, leveraging AI to understand cellular disruptions that drive disease and develop treatments for aggressive cancers, rare diseases, and neurological conditions. We're backed by significant funding, including partnerships with Bayer, Roche, Genentech, and Sanofi, proving our impact in the pharmaceutical industry.
Our culture thrives on bold integrity and direct engagement. We take calculated risks and push boundaries, always prioritizing ethics and scientific rigor. You will experience a deeply responsible and respectful environment, where honest communication and decisive action are valued. We embrace an iterative approach to progress, learning actively and adapting rapidly. Your work contributes to accelerating treatments for patients who are waiting. We foster trust and autonomy, empowering you to own outcomes and collaborate cross-functionally for maximum impact. Some roles are remote-friendly, allowing you to work from home with occasional travel to our Salt Lake City headquarters.
Our core innovation is the Recursion OS, an AI-native, end-to-end drug discovery and development platform. This unified intelligence system integrates biology, chemistry, and clinical development. We leverage proprietary multimodal data, sophisticated AI models, and bilingual teams to translate complex science into medicines. Our platform infrastructure, anchored in Salt Lake City, generates millions of cell experiments weekly in automated wet labs. To process this massive data, we collaborated with NVIDIA to build BioHive-2, the pharmaceutical industry's most powerful supercomputer. We use technologies like SAS, R, and R-Shiny for statistical programming, developing open-source R packages and visual analytics. Our stack includes TensorFlow, Google Kubernetes Engine (GKE), Grafana, Atlassian, and Microsoft Azure, addressing unique challenges in large-scale data processing and AI-driven drug discovery.