We are partnering with a world leading oncology clinic to embark on a mission to automate and improve precision cancer treatment plans.
Join us at Danosta Health as co-founder and Chief Data Officer, where you will play a critical role in changing the landscape of cancer treatment planning and saving the lives of millions.
As a machine learning engineer, you will work closely with our co-founders and cross-functional teams to translate our research into tangible product outcomes. You will have the opportunity to collaborate with a world-leading oncologist to apply machine learning techniques to cancer treatment planning. You will be responsible for designing and implementing well-defined APIs for new machine learning models, as well as prototyping across cutting-edge applied machine learning use cases working with audio, text, and structured data sources.
To be successful in this role, you should have a higher university degree or Ph.D. in computer science, computer engineering, mathematics, statistics, physics, or a related interdisciplinary field. You should have in-depth experience with Python and strong command of data structures and algorithms, as well as in-depth knowledge of one or more major machine learning frameworks such as TensorFlow or PyTorch. You should also have the ability to manage machine learning research projects and communicate outcomes to technical and non-technical audiences.
It would be a plus if you have a publication history at top machine learning venues such as NeurIPS, ICML, and ICLR or impactful digital medicine journals, as well as hands-on experience with automatic speech recognition, natural language understanding, or natural language processing.
We look forward to discussing your cadicacy and fielding any questions you may have accordingly.