CSL Behring is looking to drive the strategy for AI tools and technologies, applying advanced analytics and machine learning to unlock new insights and enhance commercial outcomes.
Requirements
- Strong track record of developing and deploying machine learning models in commercial or clinical contexts.
- Deep understanding of the pharmaceutical industry, including regulatory requirements and emerging AI technologies.
- Experience leading cross-functional AI/ML initiatives from concept through deployment.
- Familiarity with cloud environments (AWS and Snowflake) and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
Responsibilities
- Lead development and deployment of advanced analytics and AI models for commercial challenges.
- Partner with commercial, medical affairs, and market access teams to align solutions with strategic business needs.
- Translate business problems into data science use cases and develop proof-of-concept pilots through to production.
- Drive adoption of AI-enabled tools across the commercial organization, ensuring business users understand and trust the outputs.
- Partner with I&T and Data Governance for responsible AI practices, data quality, and scalable infrastructure.
- Establish KPIs and frameworks to measure ROI and business impact of data science projects.
Other
- Bachelor’s degree in Data Science, AI, Computer Science, Statistics, Applied Mathematics, or related quantitative discipline.
- 10+ years of experience in advanced analytics, data science, or (Gen)AI within pharma/biotech or healthcare.
- Comprehensive benefits package effective day 1 for employees working at least 30 hours per week.
- Resources and benefits covering health care, financial protection, mental health, and charitable contributions.
