tl;dr

Spring is giving scientists superpowers by putting world-leading technology in the hands of researchers working to understand and battle disease. A tight integration of biology and machine learning is at our core, and we're building a rare team of scientists and computational folks that work together closely, fighting disease.

Impact

Our mission - to help scientists around the world dramatically accelerate the discovery and development of therapies. And we’re bringing a new set of machine learning tools to bear on this challenge.

Our approach - to be an extension of industry partners’ teams in their discovery and preclinical efforts; and to build software helping scientists comprehend and make decisions using high-dimensional data.

Yes, you belong

We are building a cross-functional team. We don't expect you to have a background in biology, just as we don't expect our biologists to be experts in ML. We do expect our teams to work respectfully and closely, learning together every day.

We value building a diverse, inclusive environment and welcome all applicants regardless of gender, sexual orientation, ethnicity, race, education, age, or other personal characteristics.

About you

• Experience. You have 3+ years of real-world experience in data science, software development, or machine learning.
• Statistical intuition. You're comfortable dealing with data and forming and testing hypotheses. You have a developed sense of whether analysis lacks rigor and how to improve it.
• Tends towards ownership. You do anything necessary to solve the problem at hand.
• Maturity in face of ambiguity. You help define questions instead of just answering them. You work to resolve ambiguity — and you're comfortable making decisions when it remains.
• Crisp communicator. You excel at crisp, concise written or spoken communication. You love learning and teaching others in a cross-functional team (we're biologists, computational folks, and more).
• Driven by impact. You're most motivated when working on a problem of important consequence, no matter what's necessary to do so.

Nice to have

• Biological data experience. You bring familiarity with the pitfalls and analytical techniques typically encountered with large biological datasets.
• Deep learning intuition. You bring intuition about datasets and experiment structures for deep learning from personal experience.
• Scientific background. You have cultural familiarity with scientists and labs from personal experience. You know the language of scientists as well as that of the technical world.

Benefits

• Competitive salary and equity in a growing, well-funded startup
• Excellent medical, dental, and vision coverage
• Generous vacation policy
• Healthy feedback-focused environment — leadership will have high expectations, regularly share constructive feedback, expect you to grow, and welcome receiving feedback from you

A unique moment

We have deep support from some of the best investors in the world: General Catalyst, First Round, Felicis, Laura Deming's Longevity Fund, pharma/biotech angels, and many more. Our advisors are world leaders in aging research, senior execs at pharma, and top tech entrepreneurs.

And at the same time, we're just getting started. You're joining a team that has the funding needed to be ambitious while still early enough to help define our culture, choices, and success. Our expectations of you — and of ourselves — are high.