Recursion Pharmaceuticals | Data Scientists and Software Engineers | SLC, Utah | Onsite, full-time, www.recursionpharma.com
Recursion is a startup with about 50 people, generating 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 fall closed a $15M 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 using ML and data science for many diseases as fast as possible.
* Data science: Data Analyst - Data Scientist - Applied Mathematician - ML Researcher - Computational Biologist
* Technical HR Specialist/Manager - Technical Team Development Operation (New--if these posts aren't up yet, feel free to apply via Data Scientist and call out your interest in these positions)
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).
Recursion is a startup with about 40 people, generating 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 fall closed a $15M 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 using ML and data science for many diseases as fast as possible.
* Data science: Data Analyst - Data Scientist - Applied Mathematician - ML Researcher - Computational Biologist
* Technical HR Specialist/Manager - Technical Team Development Operation (New--if these posts aren't up yet, feel free to apply via Data Scientist and call out your interest in these positions)
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).
Recursion is a startup with about 30 people, generating 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 fall closed a $15M 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 using ML and data science for many diseases as fast as possible.
* Data science: Data Analyst - Data Scientist - Applied Mathematician - ML Researcher - Computational Biologist
* Technical HR Specialist/Manager - Technical Team Development Operations (New--if these posts aren't up yet, feel free to apply via Data Scientist and call out your interest in these positions)
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).
For those interested in another very different analysis of the evidence for and against superintelligence being a worthwhile concern, here's Holden Karnofsky, executive director of GiveWell and the related Open Philanthropy Project:
In that lengthy write-up, he addresses both the shorter-term risks from things like misuse of non-superintelligent AI, along with longer-term risks from superintelligent AI.
That's always my question for this sort of topic. It seems to me that the only reasonable behavior for someone accepting SAI as a legitimate concern is to advocate defunding all AI researchers, as well as criminal punishments for AI research.
TL;DR: He talks about several avenues of technical and strategy research that seem plausibly very useful and are not currently being pursued by more than a handful of people in the world. Many of these currently-engaged people are precisely the folks the author of this post disparages for being weird or insular.
One of the avenues of technical research he mentions is "transparency, understandability, and robustness against or at least detection of large changes in input distribution" for AI/ML systems. In other words, technical research to produce methods capable of reducing the likelihood of advanced systems behaving in severely bad, unexpected ways.
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.
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).
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.
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 - VP / Director of Engineering - Engineering Product Manager - Data Engineer
* Data science: Research Data Scientist - Deep Learning Computational Scientist - Data Scientist - Computational biologist / bioinformatics
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).
Recursion is a startup with about 20 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 - VP / Director of Engineering - Engineering Product Manager - Data Engineer
* Data science: Research Data Scientist - Deep Learning Computational Scientist - Data Scientist - Computational biologist / bioinformatics
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).
Recursion is a startup with less than 20 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. Our biggest challenge and biggest opportunity is to extract the most information we can from this massive amount of data.
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, but you need to already be US authorized.
Tech: Data science: python scientific stack (pandas, numpy, scikit-learn, matplotlib, bokeh, etc). Software infrastructure: mainly go. Deep learning (e.g. convolutional networks) we're mainly using the python frameworks (keras, theano, tensorflow, etc).
Send background and code to me (co-founder/cto) at datasci@recursionpharma.com. Must be US-authorized. Our team of 18: http://www.recursionpharma.com/team
Recursion is a startup with less than 20 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. Our biggest challenge and biggest opportunity is to extract the most information we can from this massive amount of data. Biology background not necessary.
* Data Visualization/Interaction Engineer - no post yet - D3 et al
* Full Stack Software Engineer - no post yet
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, but you need to already be US authorized.
Tech: Data science: python scientific stack (pandas, numpy, scikit-learn, matplotlib, bokeh, etc). Software infrastructure: mainly go. Deep learning (e.g. convolutional networks) we're mainly using the python frameworks (keras, theano, tensorflow, etc).
Send background and code to me (co-founder/cto) at datasci@recursionpharma.com. Must be US-authorized. Our team of 18: http://www.recursionpharma.com/team
Recursion is a startup with less than 20 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 like those seen below, from experiments we conducted in our lab, and we generate terabytes more each week. Our biggest challenge and biggest opportunity is to extract the most information we can from this massive amount of data.
* Data Visualization/Interaction Engineer - no post yet - D3 et al
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, but you need to already be US authorized.
Tech: Data science: python scientific stack (pandas, numpy, scikit-learn, matplotlib, bokeh, etc). Software infrastructure: mainly go. Deep learning (e.g. convolutional networks) we're mainly using the python frameworks (keras, theano, tensorflow, etc).
Send background and code to me (co-founder/cto) at datasci@recursionpharma.com. Must be US-authorized. Our team of 18: http://www.recursionpharma.com/team
Recursion is a startup with about 50 people, generating 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 fall closed a $15M 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 using ML and data science for many diseases as fast as possible.
Hiring:
* Software engineering: Full-stack Software Engineer - Front-end Software Engineer - Machine Learning Engineer
* Data science: Data Analyst - Data Scientist - Applied Mathematician - ML Researcher - Computational Biologist
* Technical HR Specialist/Manager - Technical Team Development Operation (New--if these posts aren't up yet, feel free to apply via Data Scientist and call out your interest in these positions)
http://www.recursionpharma.com/careers for more details and to apply.
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 so far: http://www.recursionpharma.com/team