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.
We are backed by world-class investors including Benchmark Capital (investors in companies such as Uber, Twitter, Discord, Airtable, Confluent, Elastic) and prominent biotech angels.
As an early 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.