OverviewWe are looking for a

Data Science Lead, Research Analytics

who is creative, curious, and collaborative in our

Global Data Science and Analytics

team, based in our

Brussel

office in

Belgium

OR

Slough .

As a Data Science Lead in Research Analytics, you’ll drive analytics solutions that inform compound and antibody discovery for early drug platforms. You’ll apply data science and machine learning to diverse datasets—imaging, gene expression, high-throughput screens, and sequencing (e.g., mRNA display)—to identify initial hits and establish early structure-activity relationships. Your work supports the organization’s Digital Business Transformation and spans modalities including small molecules, peptides, biologics, and gene therapy. You’ll collaborate across departments and with external partners, capturing insights for meta-analysis and communicating results within interdisciplinary teams.

What You’ll Do

Lead platform development of novel modalities such as peptides, impacting therapeutic projects with data-driven insights using analytics and machine learning on high-dimensional datasets conducted with complex biological assays (e.g. next-generation sequencing, cell-based assays, time-series assays, high-content assays, *-omics assays, etc.).

Clear communication of outputs and results from analyses for all relevant stakeholders.

Adapt and design data processes to support the capture and analysis of assay data and metadata and elevate platform data capability.

Develop workflows that can be used by team members for routine data processing and analysis.

Active collaboration with relevant stakeholders in function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams and IT.

Qualifications

PhD in biological, chemical, or data science with strong skills and experience in informatics, statistics, or computer science and demonstrated delivery in the life sciences space

8+ years of hands-on experience with data types, file formats, and common metadata used in biology, including high-dimensional experiments such as imaging, or high-throughput experiments such as peptide/biologics display.

8+ years of experience with machine learning on large / high dimensional datasets including data manipulation, wrangling, and analytics.

8+ years of experience with machine learning on chemical, sequence, and/or biological features.

8+ years of experience with R and/or Python

Preferred

Prior experience in pharmaceutical industry

Experience with programmatic querying of relational or graph databases is desirable (SQL, neo4j, etc.)

Excellent written and oral communication skills demonstrated by publications and conference presentations

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 UsUCB

is a global biopharmaceutical company, focusing on neurology and immunology. We are around 8,500 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.

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.

Seniority levelMid-Senior level

Employment typeFull-time

Job functionResearch

IndustriesPharmaceutical Manufacturing and Biotechnology Research

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