Associate Director, Data Science & AI

About the role

We are seeking a visionary and strategic leader to spearhead the development and commercialization of (Gen) AI solutions tailored for the life sciences industry. The Insights and Analytics team is dedicated to enabling improved decision making at CSL by leveraging superior data to identify actionable insights that drive enhanced performance. We collaborate closely with the US & International business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. You 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. You will focus on embedding AI and predictive modeling into core commercial processes, including patient identification, Medical and Tender Analytics, forecasting, and customer insights. in this role, 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. The ideal candidate brings deep domain expertise, a strong innovation mindset, and a proven track record of translating AI capabilities into impactful business solutions. Major Responsibilities 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 Stay current with emerging AI/Machine Learning (ML)techniques, tools, and regulatory developments, and translate those into CSL's context Develop strong external partnerships (vendors and external partners) to bring cutting-edge AI capabilities into CSL and represent Commercial Data Science in cross-functional governance forums, ensuring alignment with global AI/ML initiatives

Requirements

• Bachelors in data science, AI, Computer Science, Statistics, Applied Mathematics, or related quantitative discipline. Master's degree preferred
• 8 + years of experience in advanced analytics, data science, or (Gen)AI within pharma/biotech or healthcare; Commercial & Medical analytics experience strongly preferred.
• 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.
• 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
• Experience leading cross-functional AI/ML initiatives from concept through deployment.
• Familiarity with cloud environments, data engineering workflows, and modern ML frameworks and familiarity with no-code data science SaaS tools
• Develop strong external partnerships (vendors and external partners) to bring cutting-edge AI capabilities into CSL and represent Commercial & Medical Data Science in cross-functional governance forums, ensuring alignment with global AI/ML initiatives
• Ability to adapt strategies and approaches in a rapidly evolving technological landscape
• Experience in rare disease patient-finding models a plus.
• Experience in commercial and medical pharma analytics solutions such as customer segmentation, forecasting, patient event prediction, patient identification, competitive intelligence, knowledge mining etc
• Knowledge of responsible AI frameworks, data governance, and compliance in pharma settings. Experi

Benefits

Additional Information

CSL's organization is accelerating innovation to deliver greater impact for patients. With a project-led structure and a focus on collaboration, we're building a future-ready team that thrives in dynamic biotech ecosystems. Joining CSL now means being part of an agile team committed to developing therapies that make a meaningful difference worldwide. Could you be our next Associate Director, Data Science & AI? The job is in our King of Prussia, PA Office. This is a hybrid position and is onsite three days a week. You will report to the Senior Director of Commercial Business Analytics.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at CSL? Share your experience