The company

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.

The role

As an early 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. 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 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.

About you

Ready to build? Reach out to [email protected] if you’re interested.

This role is onsite in San Francisco.

We are backed by world-class investors including Benchmark Capital (investors in companies such as Uber, Twitter, Discord, Airtable, Confluent, Elastic).