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, and 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 the solution: 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. We are building a future where scientific experiments are ML-driven, rigorously tracked, and fully automatable — and we’ll see scientific productivity skyrocket.
Join us to build that future.
As an early frontend 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 the frontend of our data platform. You should be excited about 0→1 problems and feel comfortable working fast, cutting through ambiguity and keeping focused on customers and impact.
From a technical perspective, be prepared to work on a range of challenging problems:
No prior AI/LLM experience required — this is a great opportunity for experienced frontend engineers who would like to get their hands dirty with the latest and greatest models.
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.
This role is onsite in San Francisco. We provide competitive salaries, generous equity, and numerous benefits.