Computational chemists & biologists Work, Jobs in Uxbridge, Gtl (with Salaries)

Principal Computational Methodologist (UK)
UCB —Slough
- Doctoral degree
- Computer Science
- Engineering
Senior Biostatistician
Everest Clinical Research —Croxley Green
- Remote
- Doctoral degree
- Master's degree
- Quality control
- Work from home
Quick apply
Research Associate in Computational Biomolecular Physics
Imperial College London —South Kensington
- Full-time
- Doctoral degree
- Research
- Analysis skills
Scientist Computational Biology
Syngenta Crop Protection —Bracknell
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
- Life insurance
Quick apply
Principal Bioinformatics Scientist
UCB —Slough
- Doctoral degree
- AWS
- Machine learning
Senior Bioinformatics Scientist
UCB —Slough
- Doctoral degree
- Master's degree
- AWS
Bioinformatics Data Scientist
Engitix —London
- Research
- Machine learning
- Scripting
Quick apply
Bioinformatics Scientist
Basecamp Research —London
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
- Life insurance
Quick apply
Senior Manager, Real-World Evidence (RWE) Biostatistician
Bristol-Myers Squibb —Uxbridge
- Full-time
- Doctoral degree
- Master's degree
- Analysis skills
Principal Statistical Programmer
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Team management
- Travel
- In-person
Principal Statistical Methodologist
UCB —Slough
- Doctoral degree
Feasibility Informatics Analyst
Medpace, Inc. —London
- Full-time
- Computer Science
- Engineering
- Master's degree
- Annual leave
- Work from home
Principal Statistical Methodologist (UK)
UCB —Slough
- Doctoral degree
- Machine learning
- AI
PhD Intern – Bioinformatics Applied AI (Agentic Workflow Development)
Bactobio —London
- Hybrid work
- Doctoral degree
- AI
- Internship
- Employee assistance programme
- Flexible schedule
Quick apply
2d
Engineering Science Consultant - Life Sciences (Graduate)
Capgemini Sogeti —London
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
Director, Statistical Methodology and Innovation
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Doctoral degree
- Travel
- Mentoring
Scientist
Genomics —London
- Full-time
- Hybrid work
- Annual leave
Scientist/Senior Scientist - Spatial OMICs & Spatial Biology Analysis
UCB —Slough
- Doctoral degree
- Master's degree
- Bachelor's degree
1d
Machine Learning Scientist - Quantum Chemistry
Roche —Welwyn
- Hybrid work
- Doctoral degree
- Machine learning
- Travel
Scientist II/Senior Scientist, Computational Chemistry, Drug Discovery
Lila Sciences —London
- £140,800 - £217,800 a year
- Doctoral degree
- AI
Quick apply

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Principal Computational Methodologist (UK)

UCB -
Slough

Apply Now

Job details

Permanent

Qualifications

Doctoral degree
Computer Science
Stakeholder collaboration
Engineering
Machine learning modelling
Deep learning
Mentoring
Software development
Multidisciplinary collaboration
Data science
Pharmaceutical industry setting experience
AI

Full job description

Make your mark for patients

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.

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 [email protected]. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

Apply Now

Refine Your Search

computational chemists & biologists jobs in uxbridge, gtl

Principal Computational Methodologist (UK)

Senior Biostatistician

Research Associate in Computational Biomolecular Physics

Scientist Computational Biology

Principal Bioinformatics Scientist

Senior Bioinformatics Scientist

Bioinformatics Data Scientist

Bioinformatics Scientist

Senior Manager, Real-World Evidence (RWE) Biostatistician

Principal Statistical Programmer

Principal Statistical Methodologist

Feasibility Informatics Analyst

Principal Statistical Methodologist (UK)

PhD Intern – Bioinformatics Applied AI (Agentic Workflow Development)

Engineering Science Consultant - Life Sciences (Graduate)

Director, Statistical Methodology and Innovation

Scientist

Scientist/Senior Scientist - Spatial OMICs & Spatial Biology Analysis

Machine Learning Scientist - Quantum Chemistry

Scientist II/Senior Scientist, Computational Chemistry, Drug Discovery

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