Summer Internship: Machine Learning/Deep… at BeiGene · San Carlos

Summary: BeOne Medicines is a rapidly growing company focused on fighting cancer, and they are seeking a Global Digital Health Intern. The intern will work on machine learning and deep learning projects to support decision-making in hematology and oncology, collaborating with leadership and cross-functional teams. Responsibilities: - 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, TensorFlow, or JAX - Experience designing, training, evaluating, and debugging models on real-world datasets - Candidates must be legally authorized to work in the United States for the duration of the internship 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 Required Skills: Machine Learning, Deep Learning, Python Important Skills: PyTorch, TensorFlow, Data Analysis Nice-to-Have Skills: Continuous Learning Benefits: Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, Wellness