Senior Full Stack Software Engineer

The Impact You’ll Make

At Recursion we combine experimental biology, automation, and artificial intelligence to quickly and efficiently identify treatments for human diseases. Today we have four drugs in the clinic, and in the next 10 years we hope to discover 100 more. We are transforming drug discovery into a data science problem, and to do that we are building a platform for rapid biological experimentation, data generation, automated analysis, model training, and prediction.

• Build maps of biology. Leveraging the power of deep learning models created by our in-house data scientists, you’ll enable scientists to explore biological maps by building interactive visualizations of our experimental results. These applications in turn help our users to infer relationships between diseases and treatments, quickly guiding them towards testable hypotheses for treatments that can then be validated in the lab.

• Create highly usable interfaces meeting user workflow needs. Our tools need to help scientists generate disease treatment hypotheses without getting in the way. We partner with scientists to understand their workflows and build and refine the ways they interact with data, enabling them to work as efficiently as possible.

• Streamline data processing pipelines. New experiment data from our wet labs is constantly added to a large data set that sits at the heart of our applications. You will play a role in building and refining the pipelines that get this data from the lab to our apps automatically, and in ensuring that the data can be accessed efficiently not only by our own apps, but also by our team of data scientists for running ad-hoc analyses.

Every Recursion engineer acts as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, resulting in an increase in learning, growth, and impact within and beyond your team.

The Team You’ll Join 

As a member of the Accelerated Pharmacology Engineering team, you will be integral to building the data pipelines and applications that are enabling and accelerating hypothesis-generating workflows used by our scientists every day to industrialize drug discovery. In doing this work you will collaborate with biologists, chemists, and data scientists to build the tools they need and iterate on making the entire process quicker, easier, more reliable, and more intuitive.

You’ll be developing a full stack of software and tools, including user interfaces with behavior-based and user-centered designs, RESTful APIs, event streaming, data manipulation, and third-party integrations - seeking and providing feedback and making trade offs as you go to get to the right solution with the right amount of effort.

The Experience You’ll Need

• Experience programming professionally in projects with significant ambiguity and technical complexity, ideally spanning multiple production systems and involving diverse technologies.
• Experience being resourceful and collaborative in order to complete large projects. We don't have much in the way of project managers.
• A people-first mindset. We work closely with people from a wide variety of professional and academic disciplines. Despite the deadlines, we always prioritize supporting our coworkers in their growth and experience.
• Excitement to learn parts of our tech stack that you might not already know. Our current tech stack primarily consists of Python, React (both JavaScript and TypeScript), PostgreSQL, Kafka, and Kubernetes, on cloud services provided by Google Cloud Platform.
• Solid computer science fundamentals, e.g. data structures, event streaming, etc.
• Biology or chemistry background is not necessary, but intellectual curiosity is a must!