Summer Internship: Machine Learning​/Deep Learning, Global Digital Health Intern; Hybrid - San C

Overview

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and share our passionate interest in fighting cancer.

Internship program dates: June 8 - August 21, 2026

Location: Remote/San Carlos, CA

Remote-first internship with an expectation to work from the San Carlos office on an as-needed basis, approximately 20–30% of the internship. Please note that we are unable to provide any travel or relocation assistance.

Duration: Summer internship, full-time, 11 weeks, with the possibility of extension into an off-cycle internship based on performance, business needs, and candidate availability.

BeOne Medicines is seeking an exceptional MS/PhD intern in Machine Learning/Deep Learning to help define and build a high-impact modeling capability in Hematology and Oncology. This is a high-ownership internship for a candidate who wants to do meaningful technical work at the intersection of AI and disease-area strategy.

The intern will work directly with our Global Digital Health leadership and scientific leaders and partner with cross-functional stakeholders to frame important scientific or clinical questions, translate into machine learning problems, and co-lead the development of initial models or modeling frameworks. This is a greenfield opportunity to help shape how advanced AI methods can support decision-making in a clinically important area.

What you will do

• Translate scientific questions into a concrete modeling problem, including hypothesis, target variable, evaluation criteria, and success metrics.
• Audit, curate, and structure relevant datasets, which may include structured, unstructured, or multimodal biomedical data.
• Design, train, benchmark, and refine machine learning/deep learning models using modern methods appropriate to clinical and scientific problems, such as gradient boosting, deep neural networks, representation learning, transfer learning, or foundation-model-based approaches.
• Deliver clean code, experiment documentation, and a final technical readout with recommendations for next steps beyond the internship.

Required qualifications

• Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
• Strong foundation in machine learning and deep learning; and strong programming skills in Python.
• Hands-on experience with one or more modern ML/DL frameworks such as PyTorch, Tensor Flow, or JAX.
• Experience designing, training, evaluating, and debugging models on real-world datasets.

Preferred qualifications

• Publication experience in top-tier peer-reviewed venues or major journals/conferences in machine learning, deep learning, AI, computational biology, or related fields.
• Research experience in machine learning, deep learning, generative AI, representation learning, multimodal learning, or related areas.
• Prior work with biomedical, clinical, molecular, imaging, or other life sciences datasets.
• Strong interest in oncology, translational medicine, or applied AI in healthcare.

Work authorization

Candidates must be legally authorized to work in the United States for the duration of the internship.

Travel

Remote-first internship with an expectation to work from the San Carlos office on an as-needed basis, approximately 20–30% of the internship. Please note that we are unable to provide any travel or relocation assistance.

Pay Rates:

Masters: $30/hour USD

PhD: $35/hour USD

When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

• Fosters Teamwork
• Provides and Solicits Honest and Actionable Feedback
• Self-Awareness
• Acts Inclusively
• Demonstrates Initiative
• Entrepreneurial Mindset
• Continuous Learning
• Embraces Change
• Results-Oriented
• Analytical Thinking/Data Analysis
• Financial Excellence
• Communicates with Clarity

EEO & Accessibility

BeOne is proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. For reasonable accommodations in the job application process, please contact accommodations us at