Roche Holdings Inc. Intern - Machine Learning - Prescient Design in New York, New York
Start Date:Summer 2022
Length of Assignment: 3 months
Preferred Disciplines: Computer Science, Statistics, Applied Mathematics, or related field
Education Level: PhD Student (pursuing PhD, not completed)
The Machine Learning (ML) group within Prescient Design seeks exceptional graduate interns with a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.
Our mission is to develop and apply cutting-edge methods in designing novel molecules. Researchers will primarily focus on the deep learning subfield of machine learning but should be broadly interested in methods capable of effective representation learning that can help drive and sharpen the research questions we study. Fundamentally, our research goals allow us to collaborate closely with and-contribute uniquely to-many different project teams across the company.
Participate in cutting-edge research in machine learning and applications to drug discovery, design, and development.
You will collaborate closely with cross-functional teams across gRED to solve complex problems in the life sciences e.g., structural and computational biology, computational chemistry, etc..
Current Ph.D. student in Computer Science, Statistics, Applied Mathematics, Computational Biology/Chemistry, Physics, or related technical field.
Publication record and/or experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc.
Strong programming skills in languages like C/C++, Python, Java, Scala, or Go.
Experience with one or more of the following: PyTorch, TensorFlow, JAX.
Job Level:Entry Level
Roche is an Equal Opportunity Employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status.