Head of AI & Data Science Strategy (Life Sciences)

BioSpace; King of Prussia (PA); On-site; USD 180,000 - 260,000; Full time

Job summary

CSL Behring seeks a Director, AI & Data Science to lead BARDS' AI strategy, governance, and deployment across Commercial, Medical, and Market Access. You will translate complex business needs into scalable AI solutions, establish an adoption roadmap, and partner with senior leaders to deliver measurable patient and business impact.

The role requires deep technical expertise, life sciences domain knowledge, and a proven track record of delivering AI programs from concept to production in a

Qualifications

• Bachelor’s degree in Data Science, AI, CS, or related quantitative field.
• Master’s degree or Ph.D. preferred.
• 12+ years of data science/AI analytics experience.
• Experience leading cross-functional AI/ML programs in pharma/biotech or regulated industry.
• Strong ability to translate business problems into data science use cases.

Responsibilities

• Lead AI/DS strategy aligned to Commercial, Medical, Market Access priorities.
• Oversee AI/ML/GenAI solution development from concept to production and adoption.
• Establish governance, validation, explainability, and risk management for AI initiatives.
• Build operating model, adoption strategy, and capability roadmap for scalable AI.
• Partner with senior stakeholders to drive cross-functional AI use cases and value.

Skills

Data science leadership

AI/ML strategy

Cross-functional collaboration

Regulatory governance

Executive communication

Education

Bachelor's in Data Science/related field

Master's degree

PhD preferred

Tools

Dataiku

AWS

Snowflake

Databricks

Python

LLMs

TensorFlow/PyTorch

Job description

CSL Behring seeks a Director, AI & Data Science to lead BARDS' AI strategy, governance, and deployment across Commercial, Medical, and Market Access. You will translate complex business needs into scalable AI solutions, establish an adoption roadmap, and partner with senior leaders to deliver measurable patient and business impact.

The role requires deep technical expertise, life sciences domain knowledge, and a proven track record of delivering AI programs from concept to production in a