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 12: http://www.recursionpharma.com/team
Computational biologist / bioinformatics - 80-130k- (No post yet)
What we do: We've so far collected 40 TB of high-res images of human cells, some diseased, some healthy. We comb this data to find cures for rare genetic diseases.
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).
Computational biologist / bioinformatics - (No post yet)
What we do: We've so far collected 40 TB of high-res images of human cells, some diseased, some healthy. We comb this data to find cures for rare genetic diseases.
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 links to code to me (co-founder/cto) at datasci@recursionpharma.com. Our team of 12: http://www.recursionpharma.com/team
Senior Data Scientist, Deep Learning Data Scientist, Computational Research Scientist
We have 20 TB of high-resolution images of human cells, some diseased, some healthy, which we have to statistically distinguish as a first step to finding cures for rare genetic diseases. Our small team of biology and math Ph.D.’s has the potential to save lives and be at the forefront of the revolution in image-based biological analysis.
What we do
There are more than 5,000 untreated rare genetic diseases, which together affect nearly ten million people in the US alone. Each of these diseases affects too few people for traditional pharmaceutical companies to approach them, so we're building a way to seek treatments for hundreds of these diseases in parallel. We aim to find treatments for 100 of them in the next 10 years.
What you’ll do
As a core member of our data science team, you’ll collaborate with our biologists to guide our experimental design, improve the models that drive our analysis, and use our data answer questions that guide our scientific and technical strategy. We currently work mainly with the python scientific stack, including pandas and IPython, and making some use of such libraries as sklearn, while also building our own models for machine learning and statistical inference. See the posts linked below for more details.
Logistics
We're based in Research Park at the edge of the mountains overlooking Salt Lake City, Utah. Gorgeous hiking/running/biking is literally out our back door, and it's half an hour to 5 top ski resorts. We offer competitive pay, health insurance, relocation assistance (working at the office is part of the deal), equity, an awesome team to work with, and the chance to impact the world in a massively positive way. We’re happy to sponsor, but you need to already be authorized to work in the US.
We have 20 TB of high-resolution images of human cells, some diseased, some healthy, which we have to statistically distinguish as a first step to finding cures for rare genetic diseases. Our small team of biology and math Ph.D.’s has the potential to save lives and be at the forefront of the revolution in image-based biological analysis.
What we do
There are more than 5,000 untreated rare genetic diseases, which together affect nearly ten million people in the US alone. Each of these diseases affects too few people for traditional pharmaceutical companies to approach them, so we're building a way to seek treatments for hundreds of these diseases in parallel. We aim to find treatments for 100 of them in the next 10 years.
What you’ll do
As the second member of our data science team, you’ll collaborate with our biologists to guide our experimental design, improve the models that drive our analysis, and use our data answer questions that guide our scientific and technical strategy. We currently work mainly with the python scientific stack, including pandas and IPython, and making some use of such libraries as sklearn, while also building our own models for machine learning and statistical inference. See the posts linked below for more details.
Logistics
We're based in Research Park at the edge of the mountains overlooking Salt Lake City, Utah. Gorgeous hiking/running/biking is literally out our back door, and it's half an hour to 5 top ski resorts. We offer competitive pay, health insurance, relocation assistance (working at the office is part of the deal), equity, an awesome team to work with, and the chance to impact the world in a massively positive way.
We have 20 TB of high-resolution images of human cells, some diseased, some healthy, which we have to statistically distinguish as a first step to finding cures for rare genetic diseases. Our small team of biology and math Ph.D.’s has the potential to save lives and be at the forefront of the revolution in image-based biological analysis.
What we do
There are more than 5,000 untreated rare genetic diseases, which together affect nearly ten million people in the US alone. Each of these diseases affects too few people for traditional pharmaceutical companies to approach them, so we're building a way to seek treatments for hundreds of these diseases in parallel. We aim to find treatments for 100 of them in the next 10 years.
What you’ll do
As the second member of our data science team, you’ll collaborate with our biologists to guide our experimental design, improve the models that drive our analysis, and use our data answer questions that guide our scientific and technical strategy. We currently work mainly with the python scientific stack, including pandas and IPython, and making some use of such libraries as sklearn, while also building our own models for machine learning and statistical inference. See the posts linked below for more details.
Logistics
We're based in Research Park at the edge of the mountains overlooking Salt Lake City, Utah. Gorgeous hiking/running/biking is literally out our back door, and it's half an hour to 5 top ski resorts. We offer competitive pay, health insurance, relocation assistance (working at the office is part of the deal), equity, an awesome team to work with, and the chance to impact the world in a massively positive way.
We have 20 TB of high-resolution images of human cells, some diseased, some healthy, which we have to statistically distinguish as a first step to finding cures for rare genetic diseases. Our small team of biology and math Ph.D.’s has the potential to save lives and be at the forefront of the revolution in image-based biological analysis.
What we do
There are more than 5,000 untreated rare genetic diseases, which together affect nearly ten million people in the US alone. Each of these diseases affects too few people for traditional pharmaceutical companies to approach them, so we're building a way to seek treatments for hundreds of these diseases in parallel. We aim to find treatments for 100 of them in the next 10 years.
What you’ll do
Our biologists run cellular experiments, and our data scientists build models from cell data.
Engineering: The chief job of the engineering team is to extract data from cells and hand it to the data scientists quickly and reliably. As the engineering team’s second member, you’ll advance the automated cloud infrastructure, currently mainly in Go and running on EC2 and S3, to process and manage >1TB of new biological images per week, among other critical items.
Data science: As the second member of our data science team, you’ll collaborate with our biologists to guide our experimental design, improve the models that drive our analysis, and use our data answer questions that guide our scientific and technical strategy. We currently work mainly with the python scientific stack, including pandas and IPython, and making some use of such libraries as sklearn, while also building our own models for machine learning and statistical inference.
See the posts linked below for more details.
Logistics
We're based in Research Park at the edge of the mountains overlooking Salt Lake City, Utah. Gorgeous hiking/running/biking is literally out our back door, and it's half an hour to 5 top ski resorts. We offer competitive pay, health insurance, relocation assistance (working at the office is part of the deal), equity, an awesome team to work with, and the chance to impact the world in a massively positive way.
We have 20 TB of high-resolution images of human cells, some diseased, some healthy, which we have to statistically distinguish as a first step to finding cures for rare genetic diseases. Our small team of biology and math Ph.D.’s has the potential to save lives and be at the forefront of the revolution in image-based biological analysis.
What we do
There are more than 5,000 untreated rare genetic diseases, which together affect nearly ten million people in the US alone. Each of these diseases affects too few people for traditional pharmaceutical companies to approach them, so we're building a way to seek treatments for hundreds of these diseases in parallel. We aim to find treatments for 100 of them in the next 10 years.
What you'll do
The high-level job description has only one item: do whatever is necessary to help us progress in identifying cures for diseases. We hire the best, and trust that they are usually in the best position to decide what to try next. See the post linked below for more details.
Logistics
We're based in Research Park at the edge of the mountains overlooking Salt Lake City, Utah. Gorgeous hiking/running/biking is literally out our back door, and it's half an hour to 5 top ski resorts. We offer competitive pay, health insurance, relocation assistance (working at the office is part of the deal), equity, an awesome team to work with, and the chance to impact the world in a massively positive way.
Apply
Data science post: http://www.recursionpharma.com/senior-python-data-scientist....
Data science applications: datasci@recursionpharma.com goes to Blake, cofounder/CTO. Software engineering: we don't have a post ready yet, but if you're interested, drop us a line at jobs@recursionpharma.com. We need help building the automated local and cloud infrastructure, currently mainly built with Go, to process and manage >1TB of new biological images per week, among other critical items.
See who we are: http://www.recursionpharma.com/team
This may be specific to me (though I'm using the latest chrome, latest mac os, so I doubt it), but the "share on facebook" link didn't work at all for me, and the facebook "like" link took me to a page to share the post on my timeline, not just "like" it. Didn't see any easy route to report such things, so here it is!
Recursion Pharmaceuticals | Salt Lake City, Utah -- Onsite
Looking for a Senior Data Scientist / Computational Scientist.
Help us bring computational sophistication to curing diseases in a way that's only recently become possible. We’re a small (currently 8 full-timers) and fast-growing biotech startup with an amazing set of advisors including the Broad’s Anne Carpenter, and we're using high throughput biological experiments in human cells, automated image segmentation and feature extraction, and machine learning and statistics to find new treatments for rare genetic diseases faster than anyone has previously thought possible. We’re looking for a computational scientist with an outstanding track record to join our computational team and help lead our analysis efforts.
You'll need a deep foundation of statistics and probabilities, strong coding skills, and real-world machine learning experience. You should be adept at data exploration and visualization, developing and testing models and hypotheses, and rapidly solving lots of big and small problems using lots of numerical data, preferably with python’s scientific stack including pandas, scikit-learn et al.
We'll sponsor current visas, but you must already be able to work onsite--we can't wait for next year's visa cycle.
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.
* Research Data Scientist - http://www.recursionpharma.com/senior-data-scientist.html
* Deep Learning Computational Scientist - http://www.recursionpharma.com/deep-learning-computational-s...
* Data Science Engineer - http://www.recursionpharma.com/data-science-engineer.html
* Data Scientist - http://www.recursionpharma.com/data-scientist.html
* Computational biologist / bioinformatics - http://www.recursionpharma.com/computational-biologist-bioin...
* 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 12: http://www.recursionpharma.com/team