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
Hi when you say 'San Carlos, CA / Remote', does it mean we have to be in San Carlos, CA but able to work remotely? Do you accept applicants from outside the US?
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.
If this sounds interesting to you, head on over to https://www.springdisc.com/careers or email me directly at benkomalo+hn@springdisc.com.
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).
If this sounds interesting to you, head on over to https://www.springdisc.com/careers or email me directly at benkomalo+hn@springdisc.com.
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).
If this sounds interesting to you, head on over to https://www.springdisc.com/careers or email me directly at benkomalo+hn@springdisc.com.
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).
If this sounds interesting to you, head on over to https://www.springdisc.com/careers or email me directly at benkomalo+hn@springdisc.com.
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).
If this sounds interesting to you, head on over to https://www.springdisc.com/careers or email me directly at benkomalo+hn@springdisc.com.
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).
If this sounds interesting to you, head on over to https://www.springdisc.com/careers or email me directly at benkomalo+hn@springdisc.com.
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