We are seeking a Machine Learning Research Intern in the areas of Biochemical Modelling in our New York office. Ideally you will have a sound understanding of modern machine learning, deep learning, probabilistic modelling techniques and experience in chemical property prediction (e.g. QSAR/ADMET), drug-target interactions, chemical generation and multi-parameter optimisation. You will be working on a research project related to the core problems we work on at BenevolentAI - scientific discovery (specifically, drug discovery) from structured and unstructured data sources. You will be able to publish the results of your summer project at the end of the internship.
BenevolentAI is the global leader in the development and application of AI for scientific innovation and one of the world’s top five private AI companies. It is transforming the process of scientific discovery by enabling previously unimaginable scientific advances in the accelerated development of new medicines.
If you would like to join our NYC research team for summer 2018 to have direct impact in the goals of our company by advancing drug discovery, we would love to hear from you. We offer a great opportunity to do what you like, while doing something that will improve and save millions of people’s lives.
The Machine Learning Research Intern will integrate into our cross functional working environment and contribute to this high performing team who seek to apply their knowledge in the high impact field of improving human’s capability in drug discovery.
We are looking for sound knowledge of research and development of Machine Learning, Artificial Intelligence, and Deep Learning models applied within a Computational Chemistry, Cheminformatics, or a related chemistry data context; with the right mixture of inquisitiveness and rigour to follow through with the agreed tasks.
Requirements & Qualifications
Additional Nice to Have Experience:
Location: New York City
Duration: 3 months with possible extension
Salary & Benefits
The company offers competitive salaries
Apply now! Deadline : 15 Dec 2017
If you’d like to join us, please email your CV and a covering letter to our team at email@example.com