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Recursion Pharmaceuticals | SLC, Utah | Onsite, full-time

Recursion is a startup with about 25 people, but we generate rich biological data at a pace comparable to the biggest institutions anywhere doing biology and disease research. ​We have literally millions of images from experiments we conducted in our lab, and we generate terabytes more each week. We’ve gotten more than $2M in multiple grants from the NIH, and last month closed a $13M series A led by Lux Capital. We’re using imaging experiments to turn human cell experiments into massive amounts of rich biological data so we can find treatments for many diseases as fast as possible.

Hiring:

* Software engineering: Full-stack Software Engineer - Front-end Software Engineer - Machine Learning Engineer

* Data science: Growing fast and looking for great people, but applications are offline this month while we improve hiring infrastructure.

http://www.recursionpharma.com/careers for more details and to apply. Applications go to me (CTO) and our lead engineers.

Logistics: Salt Lake City, Utah. Hiking/running/biking is literally out our back door, and it's half an hour to 5 ski resorts. Competitive pay, health insurance, relocation assistance (onsite is required), equity, a top-caliber team, and help make a massively positive impact. Happy to sponsor/extend visas, but you need to already be authorized to work in the US--we can’t handle the lottery at this stage.

Tech: Data science: python scientific stack (pandas, numpy, scikit-learn, matplotlib, bokeh, etc). Software engineering: go, python, angular.js, react, javascript on aws and gce. Deep learning (e.g. convolutional networks) we're mainly using the python frameworks (keras, theano, tensorflow, etc).

Our team of ~30: http://www.recursionpharma.com/team




I applied only to be turned down for not finishing all the aspects of the "code challenge" within 2 hours.

I don't think the challenge is a fair representation of the competence of prospective hires. I was really hoping to get involved with what you guys are doing. I hope that improving your "hiring infrastructure" involves a reconsideration of this filter.




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