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