Principal Computational Methodologist Slough

Meeveem Limited; Slough; On-site; GBP 75,000 - 95,000; Full time

Job summary

Meeveem Limited is seeking a Principal Computational Methodologist in Slough, UK, to join their Advanced Methods and Data Science team. You will lead projects that utilize advanced AI and machine learning techniques to support clinical development and decision-making in pharmaceuticals.

The ideal candidate will have a PhD in a relevant scientific field and experience in programming with Python or R. This role involves collaboration with a diverse team and opportunities to engage with academic and industry partners.

Qualifications

• You have a PhD in Statistics, Computer Science, Engineering, Computational Biology, or related.
• You can confidently program in Python, R, or similar languages.
• You understand supervised, unsupervised, Bayesian, and deep learning methods.

Responsibilities

• Lead AI and machine learning projects for clinical development and decision-support needs.
• Design, build, and test modern deep learning models for clinical data.
• Mentor colleagues and represent the team through publications.

Skills

Python

R

Deep learning methods

Bayesian methods

Statistical Genetics

Computational Biology

Education

PhD in Statistics, Computer Science, Engineering, or related field

Tools

ML infrastructure

Linux environment

Job description

Principal Computational Methodologist

We are looking for a principal computational methodologist who is curious, collaborative, and impact-driven to join our Advanced Methods and Data Science team within Biometrics and Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).

About the role

You will help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such as biomarker discovery, clinical trial design, operational efficiency, and patient experience. You will guide scientific thinking, turn complex methods into practical solutions, and help build scalable tools that meet scientific, technical, and regulatory expectations.

Who you will work with

You will join Advanced Methods and Data Science, part of Biometrics and Data Science within Patient Evidence. You will work with clinical, statistical, molecular, operational, engineering, IT, governance, and compliance colleagues across countries. You will also connect with academic, technology, and industry partners. Together, you will explore new methods, share scientific learning, and support teams that use data to improve decision-making across the drug development value chain.

What you will do

• You will lead AI and machine learning projects that address clinical development, biomarker, operational, and decision-support needs.
• You will design, build, test, and refine modern deep learning models for text, graphs, biological sequences, and clinical data.
• You will develop generative AI applications using foundation models, pre-trained models, and large language models.
• You will run rigorous, reproducible AI experiments on internal and public datasets to generate publishable scientific results.
• You will partner with engineering teams to package methods into applications, platforms, and scalable validated solutions.
• You will mentor colleagues, share knowledge, and represent the team through publications, presentations, and external collaborations.

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

• You have a PhD in Statistics, Computer Science, Engineering, Computational Biology, Statistical Genetics, Mathematics, or a related scientific field.
• You bring experience in industry, ideally within pharma, clinical development, life sciences, or another regulated data-focused environment.
• You can program confidently in Python, R, or similar languages, and you can support others with practical coding guidance.
• You understand supervised, unsupervised, Bayesian, and deep learning methods, and can apply them to real-world scientific questions.
• You have experience with ML infrastructure, reproducible research, Linux or HPC environments, and software or platform development.
• You communicate clearly with scientific, technical, medical, and business partners, and enjoy working in a collaborative, multidisciplinary team.

EEO Statement

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 [e-mail]. Please note that if your enquiry does not relate to adjustments, we will not be able to support you through this channel.