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# Director of AI and Data Science - Biotechnology

- **Company:** CSL Behring
- **Location:** King of Prussia, PA, United States
- **Salary:** $225,000.0 - $270,000.0
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, Operational Data Store, Software Product Management, Deep Learning, Model Validation, Machine Learning Operations, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3020997962-2

## About the Role

* Machine learning
 * Deep learning
 * Statistical modeling
 * Python
 * RSQLCloud platforms (AWS/Azure/GCP)
 * MLOps and model deployment
 * Data engineering and data pipelines
 * Real-world evidence analytics
 * Clinical and biomedical data analysis
 * Data governance and privacy
 * AI product management
 * People leadership and team building
 * Stakeholder management

## Description

CSL Behring seeks a Director, AI & Data Science to lead strategy and execution of advanced analytics across our biotechnology portfolio. Based in King of Prussia, PA, you will build and guide a high-performing team applying machine learning, real-world evidence, and predictive modeling to accelerate discovery, clinical development, and manufacturing of lifesaving therapies for rare and serious diseases. Partnering with R&D, clinical, and operations leaders, you will champion data governance, model rigor, and ethical AI while translating complex insights into high-impact decisions in a mission-driven, patient-focused culture., * Lead the AI and data science strategy to accelerate discovery, development, and lifecycle management of plasma-derived and recombinant therapies

 * Build and mentor a high-performing AI and data science team, fostering a culture of innovation, scientific rigor, and ethical data use
 * Partner with R&D, clinical, manufacturing, and commercial teams to design and deliver AI solutions that improve patient outcomes and operational efficiency
 * Oversee development and deployment of machine learning, predictive modeling, and advanced analytics across large-scale clinical, real-world, and operational data
 * Establish best practices for data governance, model validation, and regulatory-aligned documentation in a Gx
 * P-aware environment
 * Evaluate and integrate new AI technologies and platforms; drive build vs. buy decisions and manage external vendors or collaborations
 * Translate complex analytical insights into clear recommendations for senior leadership and functional stakeholders
 * Define and track KPIs to measure impact of AI initiatives on pipeline productivity, quality, and time-to-market
 * Ensure compliance with privacy, security, and ethical standards across all AI and data science initiatives
 * Support talent development, succession planning, and cross-functional data literacy across the organization