Associate Director, AI and Machine Learning

BeOne Medicines

Associate Director in AI and Machine Learning at BeOne, developing solutions to advance oncology research. Collaborating with global stakeholders to enhance research productivity and decision-making.

Posted 5/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $158,400 - $208,400 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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, building business cases, and partnering with scientific, statistical, clinical, and technology stakeholders.
Develop and deploy AI/ML models, tools, and platforms that improve the efficiency of digitalization systems, including clinical trial design, clinical data workflows, statistical analysis processes, document generation, knowledge management, and decision-support systems.
Evaluate emerging AI technologies, including generative AI, large language models, intelligent agents, automation frameworks, and advanced machine learning approaches, and assess their applicability in regulated pharmaceutical R&D environments.

Requirements

What you’ll need

Significant experience applying AI, machine learning advanced analytics, or data science in pharmaceutical, biotechnology, healthcare, clinical development, or another regulated environment.
Demonstrated ability to lead cross-functional initiatives and influence stakeholders across scientific, technical, operational, and leadership teams.
Knowledge of regulatory expectations, data privacy, model validation, responsible AI, and governance considerations in pharmaceutical R&D.
Strong problem-solving skills with the ability to translate complex business challenges into practical, scalable AI solutions.
Excellent communication, presentation, and stakeholder management skills.
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, and related application-development frameworks.
Experience with data manipulation, statistical analysis, visualization, and reporting tools such as SQL, pandas, NumPy, SAS, R Shiny, Power BI, or equivalent platforms.
Familiarity with cloud-based data and AI platforms, such as AWS, Azure, Databricks.
Understanding of MLOps, including model development, version control, validation, deployment, monitoring, and lifecycle management.
Familiarity with data privacy, cybersecurity, access control, audit trail, and documentation requirements in regulated pharmaceutical or healthcare environments.

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

AImachine learningdata sciencePythonRscikit-learnPyTorchTensorFlowSQLMLOps

Soft Skills

problem-solvingcommunicationpresentationstakeholder managementleadershipinfluencecross-functional collaboration