Senior Principal Scientist, Research Analytics

UCB
Slough
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.