Experience deploying ml models in commercial contexts
Deep understanding of pharmaceutical industry regulations
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CSL Seqirus is seeking an Associate Director of Data Science & AI to lead the development and commercialization of AI solutions in the life sciences sector. This hybrid position requires a candidate with extensive experience in advanced analytics, machine learning, and a strong understanding of the pharmaceutical industry.
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Job Summary
This role serves as a strategic bridge between CSL's commercial business needs and technical innovation to ensure scalable and responsible use of AI.
The successful candidate will spearhead the application of advanced analytics and AI solutions to unlock new insights and enhance commercial outcomes across CSL Behring's portfolio.
CSL is an agile team committed to developing therapies that make a meaningful difference worldwide with a focus on inclusion and belonging.
Matching Summary
Match Score: 75
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CSL Seqirus is seeking an Associate Director of Data Science & AI to lead the development and commercialization of AI solutions in the life sciences sector. This hybrid position requires a candidate with extensive experience in advanced analytics, machine learning, and a strong understanding of the pharmaceutical industry.
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Skills & Requirements
Must-have
10+ years experience in data science or GenAI
Experience deploying ML models in commercial contexts
Deep understanding of pharmaceutical industry regulations
Proficiency with AWS, Snowflake, TensorFlow, PyTorch
Ability to translate business problems into data use cases
Nice-to-have
Experience in rare disease patient-finding models
Knowledge of LLM evaluation frameworks for bias and toxicity
Track record of high visibility publications in AI conferences
Experience leading cross-functional AI governance initiatives
Familiarity with no-code data science SaaS tools
Key Requirements
Bachelor's degree in Data Science, AI, CS, Statistics, or related field
Master's degree preferred
10+ years of experience in advanced analytics or GenAI within pharma/biotech
Strong track record of developing and deploying machine learning models