Associate Director, AI and Machine Learning

🕒 May 29

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BeOne Medicines

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2010

BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.

📋 Description

• Lead the strategy, design, and implementation of AI and machine learning solutions to support R&D digital transformation and operational efficiency • Drive the adoption of AI across R&D by identifying high-impact use cases and building business cases • Develop and deploy AI/ML models, tools, and platforms that improve the efficiency of digitalization systems • Evaluate emerging AI technologies and assess their applicability in regulated pharmaceutical R&D environments

🎯 Requirements

• Advanced degrees in statistics, biostatistics, computer science, data science, machine learning, bioinformatics, engineering, mathematics, or related quantitative field • Experience applying AI, machine learning advanced analytics, or data science in pharmaceutical, biotechnology, healthcare, clinical development, or another regulated environment • Strong hands-on experience with modern data science, AI, machine learning models, tools and platforms • Proficiency in programming languages commonly used for data science and AI, such as Python and R • Experience with machine learning and deep learning frameworks such as scikit-learn, PyTorch, TensorFlow, or equivalent tools • Working knowledge of generative AI, large language models, prompt engineering, retrieval-augmented generation, AI agents • Experience with AI-native programming practices, including the use of AI coding assistants • Familiarity with cloud-based data and AI platforms, such as AWS, Azure, Databricks • Understanding of MLOps, including model development, validation, deployment, monitoring, and lifecycle management • Knowledge of regulatory expectations, data privacy, model validation, responsible AI, and governance considerations in pharmaceutical R&D

🏖️ Benefits

• Medical • Dental • Vision • 401(k) • FSA/HSA • Life Insurance • Paid Time Off • Wellness