Spring Discovery | Senior Software Engineers | Full-Time | SF Bay Area | ONSITE or REMOTE
Spring Discovery is accelerating the discovery of therapies by empowering scientists with superpowers.
We're an interdisciplinary team of biologists and technologists developing a new approach to scientific analysis – one where machine learning, great software, and cross-team collaboration is at its heart. We apply these techniques in partnership with other biopharma companies to help them search for drugs, and we also license our software / technology to other scientific teams.
We're looking for senior engineers with a bent on making a difference in the scientific space. Experience with scientific datasets/products is a bonus, but not at all required. Other things we'd be interested in: strong systems thinkers, production experience handling large amounts of customer data, and Rust proficiency.
Get a sense of some of the technology we build and the promising results they've uncovered by reading our blog posts:
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more.
Small team. Tons of ownership. Hugely impactful space at intersection of ML + science. If this sounds interesting to you, head on over to https://ats.rippling.com/spring/jobs
Spring Discovery | Senior Software Engineers or Senior Data Scientists | Full-Time | SF Bay Area | ONSITE or REMOTE
Spring Discovery is accelerating the discovery of therapies by empowering scientists.
We're an interdisciplinary team of biologists and technologists developing a new approach to scientific analysis – one where machine learning, great software, and cross-team collaboration is at its heart. We apply these techniques in partnership with other biopharma companies to search for drugs, and we also license our software / technology to other scientific teams.
We're looking for senior engineers/data scientists with a bent on making a difference in the scientific space. Experience with scientific datasets/products is a bonus, but not at all required.
Get a sense of some of the technology we build and the promising results they've uncovered by reading our blog posts:
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more.
Small team. Tons of ownership. Hugely impactful space at intersection of ML + science. If this sounds interesting to you, head on over to https://www.springdisc.com/careers
Spring Discovery | UX/Product Designer and Senior Software Engineers | Full-Time | SF Bay Area | ONSITE or REMOTE
Spring Discovery is accelerating the discovery of therapies by empowering scientists.
We're an interdisciplinary team of biologists and technologists developing a new approach to scientific analysis – one where machine learning, great software, and cross-team collaboration is at its heart. We apply these techniques in partnership with other biopharma companies to search for drugs, and we also license our software / technology to other scientific teams.
We're looking for our first UX/Product Designer to help us build meaningful tools for scientific research. We're also looking for senior engineers with a bent on making a difference in the scientific space. Experience with scientific datasets/products is a bonus, but not at all required.
Get a sense of some of the technology we build and the promising results they've uncovered by reading our blog posts:
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more.
Small team. Tons of ownership. Hugely impactful space at intersection of ML + science. If this sounds interesting to you, head on over to https://www.springdisc.com/careers
Spring Discovery | Software Engineers and Product Designers | Full-Time | SF Bay Area | ONSITE or REMOTE
Spring Discovery is accelerating the discovery of therapies by empowering scientists.
We're an interdisciplinary team of biologists and technologists developing a new approach to scientific analysis – one where machine learning, great software, and cross-team collaboration is at its heart. We apply these techniques in partnership with other biopharma companies to search for drugs, and we also license our software / technology to other scientific teams.
We're looking for software engineers and product designers to help continue building software products for science. You don't need a bio background – just a desire to learn and make a difference.
Get a sense of some of the technology we build and the promising results they've uncovered by reading our blog posts:
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more.
Small team. Tons of ownership. Hugely impactful space at intersection of ML + science. If this sounds interesting to you, head on over to https://www.springdisc.com/careers
Spring Discovery | Software Engineers | Full-Time | SF Bay Area | ONSITE or REMOTE
Spring Discovery is accelerating the discovery of therapies by empowering scientists.
We're an interdisciplinary team of biologists and technologists developing a new approach to scientific analysis – one where machine learning, great software, and cross-team collaboration is at the heart. We apply these techniques in partnership with other biopharma companies to search for drugs, and we also license our software / technology to other scientific teams.
We're looking for software engineers to help continue building software products for science. You don't need a bio background – just a desire to learn and make a difference.
Get a sense of some of the technology we build and the promising results they've uncovered by reading our blog posts:
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more. You'd be joining an early team (ex-Google, Khan Academy, CZI, Freenome) and would have a ton of ownership.
Spring Discovery | Machine Learning Engineers | Full-Time | SF Bay Area | ONSITE preferred (REMOTE possible – let's discuss)
Spring Discovery is building a machine learning platform to accelerate the discovery of therapies for aging. Why? Simply because aging is the single greatest risk factor for the most detrimental diseases we know of – cardiovascular diseases, neurodegenerative diseases, even COVID-19 (see our work on this in [1] below). By understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living not only longer, but healthier lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world showing that this is possible [2]. However, the research, while promising, has been frustratingly slow. We’re leveraging the power of machine learning to dramatically improve the experimental process and we believe this approach has the potential to unlock a whole new class of therapeutic discoveries.
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have a great early team of senior engineers (ex-Google, Khan Academy, CZI, Freenome) collaborating tightly with leading scientists in the field. But we need help to continue scaling out our ML approaches and platform. We’re looking for experienced ML engineers / applied researchers who would enjoy working on helping us answers on large biological datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Machine Learning Engineers | Full-Time | SF Bay Area | ONSITE preferred (REMOTE possible – let's discuss)
Spring Discovery is building a machine learning platform to accelerate the discovery of therapies for aging. Why? Simply because aging is the single greatest risk factor for the most detrimental diseases we know of – cardiovascular diseases, neurodegenerative diseases, even COVID-19 (see our work on this in [1] below). By understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living not only longer, but healthier lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world showing that this is possible [2]. However, the research, while promising, has been frustratingly slow. We’re leveraging the power of machine learning to dramatically improve the experimental process and we believe this approach has the potential to unlock a whole new class of therapeutic discoveries.
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have a great early team of senior engineers (ex-Google, Khan Academy, CZI, Freenome) collaborating tightly with leading scientists in the field. But we need help to continue scaling out our ML approaches and platform. We’re looking for experienced ML engineers / applied researchers who would enjoy working on helping us answers on large biological datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Machine Learning Engineers | Full-Time | SF Bay Area | ONSITE preferred (REMOTE possible – let's discuss)
Spring Discovery is building a machine learning platform to accelerate the discovery of therapies for aging. Why? Simply because aging is the single greatest risk factor for the most detrimental diseases we know of – cardiovascular diseases, neurodegenerative diseases, even COVID-19 (see our work on this in [1] below). By understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living not only longer, but healthier lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world showing that this is possible [2]. However, the research, while promising, has been frustratingly slow. We’re leveraging the power of machine learning to dramatically improve the experimental process and we believe this approach has the potential to unlock a whole new class of therapeutic discoveries.
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have a great early team of senior engineers (ex-Google, Khan Academy, CZI, Freenome) collaborating tightly with leading scientists in the field. But we need help to continue scaling out our ML approaches and platform. We’re looking for experienced ML engineers / applied researchers who would enjoy working on helping us answers on large biological datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Data Scientists / Applied ML | Full-Time | SF Bay Area | ONSITE preferred (REMOTE possible – let's discuss)
Spring Discovery is building a machine learning platform to accelerate the discovery of therapies for aging. Why? Simply because aging is the single greatest risk factor for the most detrimental diseases we know of – cardiovascular diseases, neurodegenerative diseases, even COVID-19 (see our recent work on this in [1] below). By understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living not only longer, but healthier lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world showing that this is possible [2]. However, the research, while promising, has been frustratingly slow. We’re leveraging the power of machine learning to dramatically improve the experimental process and we believe this approach has the potential to unlock a whole new class of therapeutic discoveries.
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have a great early team of senior engineers (ex-Google, Khan Academy, CZI, Freenome) collaborating tightly with leading scientists in the field. But we need help to continue scaling out our ML analysis platform. We’re looking for experienced data scientists/ML researchers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Data Scientists / Applied ML | Full-Time | SF Bay Area | ONSITE preferred (REMOTE possible – let's discuss)
Spring Discovery is building a machine learning platform to accelerate the discovery of therapies for aging. Why? Simply because aging is the single greatest risk factor for the most detrimental diseases we know of – cardiovascular diseases, neurodegenerative diseases, even COVID-19 (see our recent work on this in [1] below). By understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living not only longer, but healthier lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world showing that this is possible [2]. However, the research, while promising, has been frustratingly slow. We’re leveraging the power of machine learning to dramatically improve the experimental process and we believe this approach has the potential to unlock a whole new class of therapeutic discoveries.
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have a great early team of senior engineers (ex-Google, Khan Academy, CZI, Freenome) collaborating tightly with leading scientists in the field. But we need help to continue scaling out our ML analysis platform. We’re looking for experienced data scientists/ML researchers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Software Engineer + Data Scientists / Applied ML | Full-Time | SF Bay Area | ONSITE
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world showing that this is possible [1]. However, the research, while promising, has been frustratingly slow. We’re leveraging the power of machine learning to dramatically improve the experimental process and we believe this approach has the potential to unlock a whole new class of therapeutic discoveries.
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more [2]. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have a great early team of senior engineers (ex-Google, Khan Academy, CZI) collaborating tightly with leading scientists in the field. But we need help to continue scaling out our ML analysis platform and our automated lab. We’re looking for experienced software engineers and data scientists/ML researchers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets to building an internal web app for tracking lab data. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Our mission at Spring is to accelerate the discovery of therapies for age related diseases. Machine learning is a core part of our approach and we're building a close-knit team of scientists and engineers. If you're interested, check out our job openings [1]. We also just raised an A round with support from some fantastic folks [2], including Laura Deming who put out this great FAQ on the space if you haven't already seen it: https://www.ldeming.com/longevityfaq/
Spring Discovery | Data Scientist / Applied ML | Full-Time | SF Bay Area | ONSITE
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world that this is possible [1]. But translating the science to real therapies has been challenging in a field that has historically struggled to experiment quickly. Here’s more on our mission and approach: https://medium.com/spring-discovery/accelerating-the-discove...
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more [2]. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have the beginnings of a great data pipeline (already several TB of rich biological data collected specifically for ML purposes) and are in the process of building out our own automated lab to scale things up even more. We’re looking to add to our early team with experienced data scientists or applied ML engineers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Data Scientist / Applied ML | Full-Time | SF Bay Area | ONSITE
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world that this is possible [1]. But translating the science to real therapies has been challenging in a field that has historically struggled to experiment quickly. Here’s more on our mission and approach: https://medium.com/spring-discovery/accelerating-the-discove...
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have the beginnings of a great data pipeline (already several TB of rich biological data collected specifically for ML purposes) and are in the process of building out our own automated lab to scale things up even more. We’re looking to add to our early team with experienced data scientists or applied ML engineers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Data Scientist / Applied ML | Full-Time | Bay Area
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world that this is possible [1]. But translating the science to real therapies has been challenging in a field that has historically struggled to experiment quickly. Here’s more on our mission and approach: https://medium.com/spring-discovery/accelerating-the-discove...
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have the beginnings of a great data pipeline (already several TB of rich biological data collected specifically for ML purposes) and are building out our own lab to accelerate data acquisition even more. We’re looking now to add to our early team with experienced data scientists or applied ML engineers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Khan Academy — Mountain View, CA (remote possible)
We're a small, non-profit tech startup bringing a free, world-class education to anyone, anywhere.
Millions of people in all walks of life use our free platform to learn (check out testimonials at https://www.khanacademy.org/stories). Most of you reading this are probably familiar with Sal's videos, but we also have hundreds of videos by other teachers and a huge library of interactive exercises.
A few things we're currently working on building right now:
– Mobile apps to help students learn on the go and increase access to those who might not have access to a computer [1]
– Improved knowledge models so we can better predict what you know and what will help you [2]
– Infrastructure to make the site more reliable and faster for our millions of visitors every month [3]
We're especially looking for dev ops engineers, but we have a handful of other positions open. Unfortunately, we've filled up our slots for this coming summer internship, but we'd happily talk to intern candidates for future terms.
Khan Academy — Mountain View, CA (remote possible)
We're a small, non-profit tech startup bringing a free, world-class education to anyone, anywhere.
Millions of people in all walks of life use our free educational platform to learn (check out some testimonials at https://www.khanacademy.org/stories). Most of you reading this are familiar with Sal's videos, but we also have hundreds of videos by other teachers, partnerships with organizations like MoMA and the California Academy of Sciences, and a huge library of interactive exercises.
A few things we're currently working on building right now:
– Major improvements to our mobile offerings to let students practice skills on the go [1]
– Improved knowledge models so we can better know what you know and don't know [2]
– Infrastructure improvements to make the site more reliable and faster for our millions of visitors every month [3]
==================================
We're especially looking for mobile and ops engineers, but we have a handful of other positions open. Unfortunately, we've filled up our slots for this coming summer internship, but we'd happily talk to intern candidates for future terms.
Yes, unfortunately that's correct. We're going to work to make this situation better, but for now we require eligibility to work in the US and can only support visas from citizens of Canada, Mexico and Australia right now.
Khan Academy — Mountain View, CA (remote possible)
We're a small, non-profit tech startup bringing a free, world-class education to anyone, anywhere.
Millions of people in all walks of life use our free educational platform to learn (check out some testimonials at https://www.khanacademy.org/stories). Most of you reading this are familiar with Sal's videos, but we also have hundreds of videos by other teachers, partnerships with organizations like MoMA and the California Academy of Sciences, and a huge library of interactive exercises.
A few things we're currently working on building right now:
– Major improvements to our mobile offerings to let students practice skills on the go [1]
– Improved knowledge models so we can better know what you know and don't know [2]
– Infrastructure improvements to make the site more reliable and faster for our millions of visitors every month [3]
==================================
We're especially looking for mobile and ops engineers, but we have a handful of other positions open. Unfortunately, we've filled up our slots for this coming summer internship, but we'd happily talk to intern candidates for future terms.
Khan Academy — Mountain View, CA (we also love interns, and remote is a possibility)
We're a small, non-profit tech startup bringing a free, world-class education to anyone, anywhere.
Here's a testimonial we received last week:
==================================
I just want to say thank you a billion times to Khan Academy. My Geometry midterm was this Tuesday. I was worried, because I barely passed my Algebra one last year. Enter Khan Academy. It was great practice, as they had a good amount questions where you had to manipulate on screen variables, rather than just answer multiple choice questions. This stood out to me, as my school gives tests with these types of questions and no other review site i found had them. We got our scores back, and I was the only person in my class that got an A. It's not really an "inspiring" story, but hey, I figured I'd share it anyway.
==================================
Mia might not think so, but her story does inspire and makes me happy to go to work here. Every month we get hundreds of letters like this from people in all walks of life who are thankful for our free, high-quality educational content. Most of you reading this are familiar with Sal's videos, but we also have hundreds of videos by other teachers, partnerships with organizations like MoMA and the California Academy of Sciences, and a huge library of interactive exercises. Over 20 million math problems are done every week on our site.
A few things we're currently working on building right now:
– Major improvements to our iOS app to let students practice skills on the go (or in a classroom with iPads!) [1]
– Improved knowledge models so we can better know what you know and don't know [2]
– Infrastructure improvements to make the site more reliable and faster for our millions of visitors every month [3]
– Better tools for our content creators to allow them to make thousands of engaging, interactive exercise problems without knowing how to code [4]
You'll be part of a small team working alongside both "celebrity" devs (like jQuery creator John Resig and Google's first employee Craig Silverstein) and many more who you haven't heard of but who are also really awesome.
==================================
We're especially looking for mobile designers/devs but we have a handful of other positions open -- take a look and see if anything suits you.
Apply at https://www.khanacademy.org/careers and mention that you're coming from HN. Feel free to ask me here if you have questions about applying or about KA in general. Unfortunately we can't sponsor visas right now unless you're from Canada, Australia, or Mexico.
Spring Discovery is accelerating the discovery of therapies by empowering scientists with superpowers.
We're an interdisciplinary team of biologists and technologists developing a new approach to scientific analysis – one where machine learning, great software, and cross-team collaboration is at its heart. We apply these techniques in partnership with other biopharma companies to help them search for drugs, and we also license our software / technology to other scientific teams.
We're looking for senior engineers with a bent on making a difference in the scientific space. Experience with scientific datasets/products is a bonus, but not at all required. Other things we'd be interested in: strong systems thinkers, production experience handling large amounts of customer data, and Rust proficiency.
Get a sense of some of the technology we build and the promising results they've uncovered by reading our blog posts:
https://www.springdiscovery.com/blog/megamap https://www.springdiscovery.com/blog/multi-disease
We're fortunate to have great backing from top investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more.
Small team. Tons of ownership. Hugely impactful space at intersection of ML + science. If this sounds interesting to you, head on over to https://ats.rippling.com/spring/jobs