Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is leveraging modern biology and machine learning to drastically improve the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine. We are moving with urgency to capitalize on the opportunity ahead of us after raising our $11mm seed round last year. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Some of our current open roles include:
- Machine Learning Scientist (Graph Neural Networks, Multimodal ML)
- Data Scientist, Computational Biology (cancer biology experience is a huge plus!)
See our careers page for information on these and other roles and to apply: https://www.melioratx.com/careers. Previous experience in biology or computational biology is not required for every role.
If you have any questions feel free to reach out via email: zach@melioratherapeutics.com
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is leveraging modern biology and machine learning to drastically improve the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine. We are moving with urgency to capitalize on the opportunity ahead of us after raising our $11mm seed round last year. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Some of our current open roles include:
- Machine Learning Scientist (Graph Neural Networks, Multimodal ML)
- Data Scientist, Computational Biology (cancer biology experience is a huge plus!)
See our careers page for information on these and other roles and to apply: https://www.melioratx.com/careers. Previous experience in biology or computational biology is not required for every role.
If you have any questions feel free to reach out via email: zach@melioratherapeutics.com
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is leveraging modern biology and machine learning to drastically improve the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine. We are moving with urgency to capitalize on the opportunity ahead of us after raising our $11mm seed round last year. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Some of our current open roles include:
- Machine Learning Scientist (Graph Neural Networks, Multimodal ML, etc)
- Data Scientist, Computational Biology (cancer biology experience is a huge plus!)
See our careers page for information on these and other roles and to apply: https://www.melioratx.com/careers. Previous experience in biology or computational biology is not required for every role.
If you have any questions feel free to reach out via email: zach@melioratherapeutics.com
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is leveraging modern biology and machine learning to drastically improve the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine. We are moving with urgency to capitalize on the opportunity ahead of us after raising our $11mm seed round last year. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Some of our current open roles include:
- Machine Learning Scientist (Graph Neural Networks, Multimodal ML)
- Data Scientist - Computational Biology (oncology experience is a huge plus!)
See our careers page for information on these and other roles and to apply: https://www.melioratx.com/careers. Previous experience in biology or computational biology is not required for every role.
If you have any questions feel free to reach out via email: zach@melioratherapeutics.com
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is leveraging modern biology and machine learning to drastically improve the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine. We are moving with urgency to capitalize on the opportunity ahead of us after raising our $11mm seed round last year. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Some of our current open roles include:
- Machine Learning Scientist (Graph Neural Networks, Multimodal ML)
- Machine Learning Engineer
- Data Scientist - Computational Biology (oncology experience is a huge plus!)
- Computational Chemistry Lead
See our careers page for information on these and other roles and to apply: https://www.melioratx.com/careers. Previous experience in biology or computational biology is not required for every role.
If you have any questions feel free to reach out via email: zach@melioratherapeutics.com
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is leveraging modern biology and machine learning to drastically improve the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine to complement advanced degrees from universities such as MIT, Princeton, and UPenn. We are moving with urgency to capitalize on the opportunity ahead of us, and are fresh out of stealth after raising our $11mm seed round. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Some of our current open roles include:
- Machine Learning Scientist
- Machine Learning Engineer
- Data Scientist - Computational Biology
- Computational Chemistry Lead
See our careers page for information on these and other roles and to apply: https://www.melioratx.com/careers. Previous experience in biology or computational biology is not required for every role.
If you have any questions feel free to reach out via email: zach@melioratherapeutics.com
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is leveraging modern biology and machine learning to drastically improve the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine to complement advanced degrees from universities such as MIT, Princeton, and UPenn. We are moving with urgency to capitalize on the opportunity ahead of us, and are fresh out of stealth after raising our $11mm seed round. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Some of our current open roles include:
- Machine Learning Scientist
- Machine Learning Engineer
- Data Scientist - Computational Biology
See our careers page for information on these and other roles and to apply: https://www.melioratx.com/careers. Previous experience in biology or computational biology is not required for every role.
If you have any questions feel free to reach out via email: zach@melioratherapeutics.com
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is leveraging modern biology and machine learning to create a step change in the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine to complement advanced degrees from universities such as MIT, Princeton, and UPenn. We are moving with urgency to capitalize on the opportunity ahead of us, and are fresh off a seed round financing. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Previous experience in biology or computational biology is not required for every role.
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time | Multiple Roles
Meliora Therapeutics is leveraging modern biology and machine learning to create a step change in the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine to complement advanced degrees from universities such as MIT, Princeton, and UPenn. We are moving with urgency to capitalize on the opportunity ahead of us, and are fresh off a seed round financing. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Previous experience in biology or computational biology is not required for every role.
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time
Meliora Therapeutics is a biotech startup leveraging modern genomics and machine learning to discover and develop cancer drugs. In short, the vast majority of cancer drugs fail in clinical trials, and much of the time off-target effects are to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding scientist is on the faculty of Yale School of Medicine and our team has strong experience in software/ML at Google/Verily/Benchling to complement degrees from MIT/Princeton/UPenn. We are moving with urgency to capitalize on the opportunity ahead of us and are fresh off a seed round financing. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative machine learning scientists to join us in building a machine learning-driven cancer drug development engine. Previous experience in biology or computational biology is not required.
Meliora Therapeutics is leveraging modern biology and machine learning to drastically improve the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine. We are moving with urgency to capitalize on the opportunity ahead of us after raising our $11mm seed round last year. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Some of our current open roles include: - Machine Learning Scientist (Graph Neural Networks, Multimodal ML) - Data Scientist, Computational Biology (cancer biology experience is a huge plus!)
See our careers page for information on these and other roles and to apply: https://www.melioratx.com/careers. Previous experience in biology or computational biology is not required for every role.
If you have any questions feel free to reach out via email: zach@melioratherapeutics.com