Global Advanced Analytics Partner
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Make your mark for patients
We are looking for an Advanced Analytics Partner who is curious, collaborative, and impact-driven to join our Patient Evidence team, based in our global headquarters in Belgium or one of our USA locations, requiring 40% onsite presence and 5-10% international/ domestic travel.
About the role
You will deliver advanced analytics and artificial intelligence-driven insights that support evidence-based decisions and create meaningful value for patients. Working with diverse healthcare data sources, you will design and implement analytical solutions that inform commercial assessments across our development pipeline. You will help identify opportunities, strengthen analytical capabilities, and support the evolution towards predictive and proactive decision-making.
Who you’ll work with
You will be working in a team that brings together advanced analytics and integrated insights expertise. You will collaborate closely with colleagues across Patient Evidence, Integrated Insights, Digital Technology, and other analytics teams. By partnering with business stakeholders, you will transform complex questions into actionable insights that help shape business decisions and support future launches.
What you’ll do
Deliver advanced analytics insights supporting commercial assessments across the development pipeline.Design analytical solutions using healthcare, laboratory, claims, and biological data.Integrate multiple data sources to generate robust and actionable insights.Select appropriate data and analytical methods for complex business questions.Translate analytical results through clear visualisation, storytelling, and practical recommendations.Manage analytics projects from initiation through high-quality, timely implementation.Help expand the use of secondary data and advanced analytics to generate insights and reduce reliance on primary research where appropriate.Interested? For this role we’re looking for the following education, experience and skills
Master’s or doctoral degree in a quantitative field preferred.Experience applying advanced predictive modelling and machine learning techniques.Experience working with patient-level healthcare data such as claims, EHR/EMR, laboratory or other real-world data sources.Experience managing projects from initiation through successful implementation.Programming experience using Python or R.Ability to interpret models and identify analytical limitations and biases.Strong communication, project management, and structured problem-solving skills.Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you
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