Build on the cloud: Use cloud platforms such as Databricks, AWS, Snowflake, Azure, or comparable environments as the foundation for scalable and efficient analytical solutions.
Bring fresh thinking: Operate independently, challenge the status quo, and bring new ideas and expertise that can strengthen the team’s capabilities.
Safeguard trust: Apply sound statistical judgment and validate AI-generated outputs while working within data privacy requirements, de-identified data practices, and applicable AZ AI governance standards.
What You'll Bring
Essential
Education: Master’s degree or PhD in Data Science, Statistics, Biostatistics, Engineering, Economics, Applied Mathematics, or a related quantitative field.
Relevant experience: Typically 4+ years of experience applying decision science, data science, advanced analytics, or quantitative methods to real business problems. Strong and recent experience with modern AI and analytics is more important than total years alone.
Demonstrated business impact: Track record of applying analytics in a commercial environment such as sales effectiveness, commercial operations, brand marketing, or a relevant adjacent area such as supply chain.
Cloud computing: Hands-on experience with Databricks, AWS, Snowflake, Azure, or a comparable cloud/data platform. Exact platform experience can vary.
AI-native and agentic workflows: Practical, recent experience using AI-enabled approaches, coding agents, or agentic workflows, including human-agent interaction and orchestration.
Technical foundation: Working proficiency in Python and SQL, with practical experience in machine learning, predictive modeling, statistical analysis, and model validation. Depth may vary by model family and use case; mastery of every method or library is not required.
Stakeholder management: Strong communication and consulting skills, with demonstrated ability to engage non-technical leaders, simplify complex topics, and influence decisions without relying on technical jargon.
Independent delivery: Ability to make an impact quickly, operate with autonomy, and bring new expertise rather than requiring significant training to become effective in the role.
Desirable
Healthcare or life sciences: Experience in pharmaceutical, biotechnology, healthcare, life sciences, rare disease, or a healthcare practice within consulting or technology.
Commercial data: Familiarity with commercial healthcare data such as claims, CRM, specialty pharmacy, patient services, or comparable datasets.
Commercial analytics use cases: Experience with areas such as marketing mix modeling, next-best action, segmentation, forecasting, patient identification, adherence, or field effectiveness.
Visualization: Experience with Power BI, Tableau, Qlik, or comparable tools for communicating analytical findings and enabling business decisions.
Why This Role Matters
Your work will help teams use data, advanced analytics, and AI more effectively to identify opportunities, improve commercial decision-making, and focus resources where they can have the greatest impact for patients living with rare diseases.
In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace. Be appreciated for your contributions. Our culture of recognition and reward means each of us feels supported and empowered to step up and take responsibility. With all the tools you need to excel at every level, coupled with ongoing constructive coaching, there’s no better place to bring out your best.
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.
Closing Date 04-Nov-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
