Global Advanced Analytics Partner

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!

About us 
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science.

Why work with us? 
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.

At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.

UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. 
 
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on [email protected]. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.