Senior Data Scientist, Industrialized Workflows at Recursion Pharmaceuticals — NeverHard

We are an application‑oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering, scientific, and operational disciplines. We are value‑driving – data science at Recursion is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You’ll Need 3‑5+ years practical experience applying probability, statistics, and machine learning to real‑world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross‑disciplinary collaboration. Experience working within a fast‑paced interdisciplinary team to solve business‑relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit‑learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous‑use production environment. Nice to have: experience in creating compelling visualizations of high‑dimensional data that enable clear decision‑making and interpretation, prompt engineering for LLMs, cheminformatics, or analysis of RNA sequencing data. How You’ll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems. Receive real‑time feedback on code quality and best practices from a team of peers. Ability to participate and learn from your colleagues in our regular all‑hands, journal club & tech talks for Data Science. Option to attend conferences to learn more from colleagues, networks, and more to better your skillset. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. #J-18808-Ljbffr