Associate Director, Data Science & AI

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The Associate Director, Commercial Data Science & AI is crucial in driving the overall strategy for (Gen)
AI tools and technologies within CSL. This individual will spearhead the application of advanced analytics, machine learning, and AI solutions to unlock new insights, accelerate decision‑making, and enhance commercial outcomes across CSL Behring’s portfolio. The role will focus on embedding AI and predictive modeling into core commercial processes, including patient identification, Medical and Tender Analytics, forecasting, and customer insights. The AD 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.

The ideal incumbent brings deep domain expertise, a strong innovation mindset, and a proven track record of translating AI capabilities into impactful business solutions.

• Lead development and deployment of advanced analytics and AI models to address critical commercial challenges (patient identification in rare disease, HCP segmentation, Medical and Tender use cases).
• In close partnership with ABCIA Commercial, Medical Affairs, and Market Access teams to ensure solutions are aligned with strategic business needs.
• Translate business problems into well‑defined 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 to ensure responsible AI practices, data quality, and scalable infrastructure.
• Drive CSL innovation in the field, leading to high‑visibility publications in top AI conferences and patents around Generative AI, reasoning, multi‑agent systems, etc.
• Establish KPIs and frameworks to measure ROI and business impact of data science projects.

Bachelor’s degree required. In Data Science, AI, Computer Science, Statistics, Applied Mathematics, or related quantitative discipline preferred.

• 10+ years of experience in advanced analytics, data science, or (Gen)
  AI within pharma/biotech or healthcare; commercial analytics experience strongly preferred.
• Strong track record of developing and deploying machine learning models in commercial or clinical contexts. Strong analytical and problem‑solving skills, with the ability to interpret complex data and make informed decisions.
• A deep understanding of the pharmaceutical industry, including regulatory requirements, market dynamics, and emerging AI technologies, with the foresight to identify and map both current and future AI opportunities, is preferred.
• Experience leading cross‑functional AI/ML initiatives from concept through deployment.
• Familiarity with cloud environments (AWS and Snowflake), data engineering workflows, and modern ML frameworks (Tensor Flow, PyTorch, scikit‑learn) and familiarity with no‑code data science SaaS tools.
• Demonstrated ability to translate business problems into analytical solutions and communicate results to senior leadership.
• Ability to adapt strategies and approaches in a rapidly evolving technological landscape. Additional Qualifications – Preferred.
• Experience in rare disease patient‑finding models a plus.
• Experience building evaluation frameworks for LLMs (factuality, faithfulness, bias, toxicity) and human‑in‑the‑loop review.
• Knowledge of responsible AI frameworks, data governance, and compliance in pharma settings. Experience leading design, training/fine‑tuning, and evaluation of ML/LLM/Agentic systems (retrieval‑augmented generation, tool‑use, routing, multi‑agent workflows).
• Ability to thrive in a matrix environment and influence without direct authority.

This is a hybrid role. You are required to be in the office three days a week and one of those days must include a Monday or Friday.

Different qualifications or responsibilities may apply based on local legal and/or educational requirements. Refer to local job documentation where applicable.

CSL employees that work at least 30 hours per week are…