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 | San Francisco, CA with Full Remote Available | Full-time
Meliora Therapeutics is seed-stage 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 a faculty member of Yale School of Medicine and our team has strong experience in software/ML through experience at Google/Verily/Benchling to complement degrees from MIT/Princeton/UPenn. We are backed by top life science and tech investors.
We're looking for talented, ambitious, and creative data scientists and 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.
If you are interested, or you know someone who might be, please reach out via email: [email protected]
Meliora Therapeutics | San Francisco, CA with Full Remote Available | Full-time
Meliora Therapeutics is seed-stage 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 a faculty member of Yale School of Medicine and our team has strong experience from software/ML through business at Google/Verily/Benchling to complement degrees from MIT/UPenn/Princeton. We are backed by top life science and tech investors.
We're looking for talented, ambitious, and creative data scientists and 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.
If you are interested, or you know someone who might be, please reach out via email: [email protected]
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.
See our full posting for additional details here: https://docs.google.com/document/d/1HLaBRj1QpuUHqHZrlWPHu9ck...
If you are interested, or you know someone who might be, please reach out via email: [email protected]