Computational chemists & biologists Work, Jobs in Godstone, Sry (with Salaries)

Engineering Science Consultant - Life Sciences (Graduate)
Capgemini Sogeti —London
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
10d
Cheminformatics Data Scientist
Novogaia —London
- Full-time
- Doctoral degree
- Scripting
- AI
Quick apply
1d
Principal Biostatistician
Ergomed —Guildford
- Full-time
- Remote
- English
- Master's degree
- Presentation skills
Quick apply
Research Associate in Osteoarthritis Biostatistics
Imperial College London —Hammersmith
- £49,017 - £57,472 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Communication skills
Senior Research Engineer, ML Systems
Basecamp Research —London
- Full-time
- Doctoral degree
- Computer Science
- Research
- Life insurance
Quick apply
Director, Biostatistics
Orchard Therapeutics —London
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Communication skills
Quick apply
Research Assistant (Computational Data Analyst)
Imperial College London —Hammersmith
- £45,399 - £48,876 a year
- Full-time
- Doctoral degree
- Research
- University
- Annual leave
3d
Bioinformatics Scientist
Basecamp Research —London
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
- Life insurance
Quick apply
Research Associate in Computational Biomolecular Physics
Imperial College London —South Kensington
- Full-time
- Doctoral degree
- Research
- Analysis skills
Senior Biostatistician
Theradex Oncology —Crawley
- Full-time
- Master's degree
- Communication skills
- Time management
- Employee assistance programme
- Sick pay
20h
Data Scientist
Qureight Ltd —London
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
10d
Research Fellow in Computational Biology and AI
University College London —London
- £38,607 - £52,586 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- AI
- Annual leave
- Employee assistance programme
Research Assistant / Associate in Transmission Dynamics Modelling
Royal Veterinary College —London
- £35,311 - £51,470 a year
- Full-time
- Doctoral degree
- Master's degree
- Annual leave
11d
Principal Data Scientist – Precision Biomarkers in Skin Health
Mitra Bio —London
- Hybrid work
- Doctoral degree
- Data analysis skills
- Master's degree
Research Fellow in Biopharmaceutical Process Analytics
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Machine learning
- Communication skills
- Annual leave
- Employee assistance programme
1d
ML Research Engineer, Evaluation
Novogaia —London
- Full-time
- Machine learning
- Communication skills
- Analytics
Quick apply
1d
Research Fellow in Statistics
London School of Hygiene & Tropical Medicine —London
- £45,728 - £51,872 a year
- Full-time
- Doctoral degree
- Annual leave
Research Assistant in Brain Vascular Epigenomics – UK Dementia Research Institute
Imperial College London —White City
- £43,863 - £47,223 a year
- Full-time
- Research
- University
12d
Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences
University College London —London
- £54,931 - £76,244 a year
- Full-time
- Doctoral degree
- Research
- Machine learning
- Annual leave
- Employee assistance programme
Research Fellow - Medical Statistician
University College London —London
- £43,981 - £54,019 a year
- Full-time
- Hybrid work
- Annual leave
- Employee assistance programme
1d

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Engineering Science Consultant - Life Sciences (Graduate)

Capgemini Sogeti -
London

Apply Now

Job details

Permanent
10 days ago

Qualifications

TensorFlow
Dashboard visualisation
Doctoral degree
Engineering
Data structures
Master's degree
Machine learning
Biochemistry
Machine learning modelling
Data analytics
Data science
AI

Full job description

Your Role

As an Engineering Science Consultant within our Life Sciences team, you will combine scientific expertise with data science / AI and software skills to help leading pharmaceutical, biotechnology and consumer health organisations unlock value from their scientific data.

Working alongside bio/chemo informaticians, scientists, software engineers and AI specialists, you will develop and deploy data-driven solutions that support research, experimentation and product development. You will apply modern analytics, machine learning and data engineering techniques to biological, chemical and experimental datasets while helping clients transform their R&D capabilities.

In this role you will play a key role in:

Collaborating with research scientists to understand scientific problems and translate them into data-driven solutions
Communicating technical findings and recommendations to both scientific and business audiences
Developing data pipelines and analytical workflows for scientific and research datasets
Applying machine learning and AI techniques to solve complex life sciences challenges
Working with biological, chemical, omics, laboratory, clinical and experimental data
Creating visualisations, dashboards and decision-support tools for scientific stakeholders
Creating robust, scalable software solutions that integrate data science capabilities into production environments
Collaborating with industry experts to understand and solve complex problems using data and insights
Implementing and optimizing algorithms for data processing, feature extraction, and model training

Your Profile

Degree, Master's or PhD in a STEM discipline with additional consideration given to candidates with background in Bioinformatics, Biology or Biochemistry
Ability to communicate technical concepts clearly to diverse stakeholders
Analytical and problem-solving capabilities
Experience working with scientific, biological or chemical datasets
Experience applying data analytics, machine learning or statistical techniques to real-world problems

Desirable

Experience of using programming languages (e.g. Python, R) and associated ML frameworks, e.g. scikit-learn, TensorFlow, PyTorch
Understanding of data structures, algorithms, and software design principles

If you're excited about this role but don’t meet every requirement, we stillencourage you to apply, your uniqueexperience could be just what we need.

Make it real – what does it mean for you?

Exposure to top global companies working withCapgemini (145 of the Fortune 500 companies)
Open access to digital learning platforms
Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

Declare they have a disability, and
Meet the minimum essential criteria for the role.
Please opt in during the application process.

Capgemini. Make it real.

Need to know

All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.

Location: Abingdon or London

Flexible and hybrid working: We believe great work happens when people have the flexibility to work in ways that help them perform at their best. We support a hybrid approach that balances collaboration, client needs and individual circumstances, empowering you to manage your work with greater flexibility and autonomy.

Impactful scientific and engineering challenges: Work on cutting-edge engineering and R&D programmes for some of the world's leading organisations.

Continuous learning: Access world-class training, certifications and technical development opportunities.

Career acceleration: Clear progression pathways across consulting, technical leadership and scientific specialisms.

Continuous growth and development: We invest in your long-term success through regular coaching, constructive feedback, mentoring opportunities and meaningful career conversations. You'll work closely with your manager and colleagues to identify development opportunities, build new skills, and shape a career path aligned to your ambitions.

Well-being Hub: The global Well-Being Hub connects employees across various facets of well-being: work-life balance, working hours and network growth.

Free access to learning platforms: Free access for all, to world-class learning assets and curated programs from Harvard Business Review, Coursera, Udemy, Microsoft, AWS, Google and many more.

Digital campuses and academy: Our engineering academy offers more than 60,000 hours of training, as also our digital campus on GenAI, data or sustainability, support digital learning in the flow of work from awareness to expert certifications.

You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday lifeand will be part of your working reality. We havebuilt a representative and welcoming environment, foreveryone.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Make it real | www.capgemini.com

Apply Now

Refine Your Search

computational chemists & biologists jobs in godstone, sry

Engineering Science Consultant - Life Sciences (Graduate)

Cheminformatics Data Scientist

Principal Biostatistician

Research Associate in Osteoarthritis Biostatistics

Senior Research Engineer, ML Systems

Director, Biostatistics

Research Assistant (Computational Data Analyst)

Bioinformatics Scientist

Research Associate in Computational Biomolecular Physics

Senior Biostatistician

Data Scientist

Research Fellow in Computational Biology and AI

Research Assistant / Associate in Transmission Dynamics Modelling

Principal Data Scientist – Precision Biomarkers in Skin Health

Research Fellow in Biopharmaceutical Process Analytics

ML Research Engineer, Evaluation

Research Fellow in Statistics

Research Assistant in Brain Vascular Epigenomics – UK Dementia Research Institute

Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences

Research Fellow - Medical Statistician

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