DeepCure is seeking an exceptional and highly motivated Machine Learning Scientist to join our fast-growing collaborative team. As a Machine Learning Scientist at DeepCure, you will work on the biggest challenges in the pharmaceutical industry, apply cutting-edge technologies, and help us shape the company’s platform vision. You will work hand-in-hand with other drug discovery scientists and software engineers and develop technological tools to support our drug-discovery pipeline, which targets unmet medical needs. This is a truly unique position in which you will have a leading role in changing the way the industry approaches drug discovery.
More about DeepCure:
DeepCure is a next-generation therapeutics company, built from the ground up with equal importance to computation and life sciences. Our mission is to deliver to patients safer and more efficacious therapeutics that are extremely unlikely to be discovered by traditional drug discovery pipelines. We are a team of curious, multidisciplinary, and impact-driven professionals on a quest to redefine the way drugs are discovered. Our main office in the US is located in Boston and our platform team is working on a fully-remote basis, and is composed of computer scientists based in different locations in the united states, and globally.
Required Qualifications:
Preferred Qualifications:
Hiring level commensurate with experience.
In this role you will:
For the right candidate, we'll offer a competitive salary and a generous equity grant. Your compensation is rounded out by a strong benefits package:
“Brainstorming on my challenges with all these amazing brains, deserves a shout-out every sprint” (Jon, Member of our Machine learning team).
Most importantly, you'll have a huge impact, do important work, and work with a team of people you'll genuinely enjoy spending the day with.
DeepCure is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.