Sphinx’s mission is to accelerate the pace of biotech research by empowering scientific teams to make better decisions, faster. We are in the midst of a biological + computational renaissance with recent ground-breaking advancements in designing proteins from scratch, predicting protein structure, extracting insights from scientific literature. This research has the opportunity to revolutionize healthcare and biomanufacturing — but scientists are held back by the current tangled mess of spreadsheets, notebooks, and slide decks.
Sphinx provides a solution for biotech companies: a data platform for modern biotech companies to manage and analyze their data. We are the home for collaboration across laboratory scientists, computational biologists, and ML teams. In the future, all scientific experiments will be ML-driven, rigorously tracked, and fully automatable — and we’ll see scientific productivity skyrocket.
Join us to build that future.
As a senior software engineer at Sphinx, you will have a tremendous influence on the direction of the company. You will work directly with customers and and be responsible for building software solutions to their problems. Your role will encompass both the design of complex systems and the implementation those systems, so you should be excited about solving 0→1 problems quickly with an eye to the future. Your role will also entail mentoring and working with more junior members of the team.
From a technical perspective, be prepared to work across the stack — from designing data pipelines to building visualization frameworks. As a small team, we expect engineers to be generalists (though it’s ok if you have a set of areas where you’re stronger). We are also looking for first-principles thinkers. Scientific data and workflows has a different set of challenges than other industries, and you will have the opportunity to design novel solutions to difficult problems. No scientific experience is required, but you should be comfortable designing and implementing of large scale systems from scratch.
Our tech stack is primarily Python + Typescript.
This role is onsite in San Francisco. We provide competitive salaries, generous equity, and numerous benefits.