About this opportunity
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 EMEA-Reasonable_Accommodation@ucb.com. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 883 comparable Data & Digital roles across 80 biopharma companies.
Salary context
276 of 883 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 883 comparable roles
+ 36 more countries
Seniority mix
574 of 883 peers have a known seniority level
Therapeutic area mix
30 of 883 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.