PhD Internship in Machine Learning and Statistics for Clinical Trial Design at Genentech Genentech in United States

Genentech is offering a PhD internship opportunity for summer in South San Francisco, focusing on advancing machine learning and statistical approaches for clinical trial design and analysis. The position is ideal for PhD students with backgrounds in applied and/or theoretical statistics, and an interest in leveraging computational methods to improve clinical research. The internship will provide hands-on experience in developing and applying ML and statistical models to real-world problems in clinical trial methodology, working alongside experts in the field. The role is supervised by Clara Wong-Fannjiang, Senior Machine Learning Scientist at Genentech, who has a strong background in both industry and academic research. While specific funding details are not mentioned, internships at Genentech are typically paid. Applicants are encouraged to reach out directly via LinkedIn or through the provided application link. This is a unique opportunity to contribute to cutting-edge research at the intersection of statistics, machine learning, and medical science in a leading biotechnology company. No explicit eligibility requirements beyond being a current PhD student in a relevant field are mentioned, and there is no stated application deadline. For more information, refer to the LinkedIn post or contact the supervisor directly.