Associate Director, Data Science & Ai

CSL Behring

King of Prussia, PA, USA
**
10+ years experience in data science
Advanced analytics and ai model deployment
Commercial analytics in pharma or biotech
** CSL Behring is seeking an Associate Director of Data Science & AI to lead the development of AI solutions for the life sciences industry, focusing on enhancing commercial outcomes through advanced analytics. This hybrid position requires significant experience in data science, particularly within the pharma or biotech sectors, and emphasizes a collaborative culture that values innovation and patient impact. **

Job Summary

  • The role involves spearheading the development and commercialization of Generative AI solutions tailored for the life sciences industry to drive enhanced performance.
  • You will serve as a bridge between CSL's commercial business needs and technical innovation, ensuring scalable and responsible use of AI to create measurable business impact.
  • CSL is an agile team committed to developing therapies that make a meaningful difference worldwide, offering a hybrid work environment three days onsite.

Matching Summary

Match Score: 75

** CSL Behring is seeking an Associate Director of Data Science & AI to lead the development of AI solutions for the life sciences industry, focusing on enhancing commercial outcomes through advanced analytics. This hybrid position requires significant experience in data science, particularly within the pharma or biotech sectors, and emphasizes a collaborative culture that values innovation and patient impact. **

Skills & Requirements

Must-have

  • 10+ years experience in data science
  • Advanced analytics and AI model deployment
  • Commercial analytics in pharma or biotech
  • Machine learning frameworks like TensorFlow
  • Cloud environments AWS and Snowflake

Nice-to-have

  • Experience with rare disease patient-finding
  • Knowledge of responsible AI frameworks
  • Experience leading LLM evaluation frameworks
  • Strong innovation mindset for GenAI
  • Ability to translate business problems to data

Key Requirements

  • Bachelor's degree in quantitative discipline; Master's preferred
  • 10+ years of experience in advanced analytics or GenAI
  • Deep understanding of pharmaceutical industry regulations
  • Proven track record of deploying ML models in commercial contexts

Work Rights

Not specified

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