Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Principal Scientist, Research Analytics

UCB
Slough
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Principal Product Data Scientist

Machine Learning Engineer (Databricks)

Principal Data Scientist

Principal AI Research Scientist – Natural Language Processing

Principal Data Scientist & Machine Learning Researcher

Make your mark for patients


UCB is seeking a talented and experienced Senior Principal Scientist to join our Research Analytics team in Slough, United Kingdom

About the role

As a key member of the Research Analytics group, you will play a pivotal role in advancing UCB's drug discovery and development efforts by applying advanced analytical techniques to derive insights from complex data sets. This position offers a unique opportunity to contribute to the discovery and development of novel therapeutics in the areas of immunology and neurology, ultimately making a meaningful impact on patients' lives.

What you’ll do

Lead the design and implementation of advanced data analytical strategies to support drug discovery and development programs. Analyze complex biological and chemical data sets to identify patterns, trends, and potential therapeutic targets and drug candidates. Collaborate closely with cross-functional teams including medicinal chemistry, biology, computational chemistry and bioinformatics to drive decision-making throughout the drug discovery process. Develop and apply innovative computational approaches to enhance data analysis and interpretation. Stay abreast of the latest developments in data science, bioinformatics, and machine learning, and integrate relevant methodologies into research projects. Act as a subject matter expert in research analytics, providing guidance and mentorship to junior team members. Manage 1-2 direct reports and set the team up for growth, strengthen our digital talent and foster a culture of open-minded co-creation of innovative solutions with internal / external network of partners

Interested? For this role we’re looking for the following education, experience and skills

PhD. in computational biology, bioinformatics, computer science, or a related field with a minimum of 8 years of relevant industry experience. Proven track record of applying advanced data analytical techniques to drug discovery and development projects. Expertise in statistical analysis, machine learning, and data visualization. Strong programming skills in languages such as (Linux / Python / Jupyter / Scikit-learn / Spotfire / etc.). Experience working with large-scale biological and chemical data sets (e.g. biologics, sequencing, genomics, proteomics, high-throughput screening). Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Prior experience in the biopharmaceutical industry is preferred.

If you are interested to learn more about R&D within UCB, please find more information here .


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! 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.