Computational chemists & biologists Work, Jobs in Winnersh, Brk (with Salaries)

Scientist Computational Biology
Syngenta Crop Protection —Bracknell
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
- Life insurance
Quick apply
Engineering Science Consultant - Life Sciences (Graduate)
Capgemini —Abingdon
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
Scientist/Senior Scientist - Spatial OMICs & Spatial Biology Analysis
UCB —Slough
- Doctoral degree
- Master's degree
- Bachelor's degree
2d
Senior Biostatistician
Everest Clinical Research —Croxley Green
- Remote
- Doctoral degree
- Master's degree
- Quality control
- Work from home
Quick apply
AI/ML Technical Expert – Predictive safety & multimodal biology
Syngenta Crop Protection —Bracknell
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
- AI
- Life insurance
Quick apply
4d
Principal Bioinformatics Scientist
UCB —Slough
- Doctoral degree
- AWS
- Machine learning
Senior Bioinformatics Scientist
UCB —Slough
- Doctoral degree
- Master's degree
- AWS
Principal Computational Methodologist (UK)
UCB —Slough
- Doctoral degree
- Computer Science
- Engineering
Principal Statistical Programmer
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Team management
- Travel
- In-person
Principal Statistical Methodologist
UCB —Slough
- Doctoral degree
Higher Scientist
NPL —Teddington
- Engineering
- Machine learning
- Software development
3d
Senior Manager, Real-World Evidence (RWE) Biostatistician
Bristol-Myers Squibb —Uxbridge
- Full-time
- Doctoral degree
- Master's degree
- Analysis skills
Principal Statistical Methodologist (UK)
UCB —Slough
- Doctoral degree
- Machine learning
- AI
Director, Statistical Methodology and Innovation
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Doctoral degree
- Travel
- Mentoring

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computational chemists & biologists jobs near winnersh, brk

Scientist Computational Biology

Syngenta Crop Protection -
Bracknell

Quick apply

Job details

Full-time

Benefits

Company pension
Private medical insurance
Life insurance

Qualifications

Doctoral degree
Master's degree
Machine learning
Machine learning modelling
Bioinformatics
Analytics

Full job description

Company Description

Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

Job Description

Drive data-driven discovery in crop protection by applying advanced computational approaches to solve complex biological challenges.

In this role, you will collaborate with scientists across Crop Protection Research, developing and deploying bioinformatics tools, machine learning models, and data workflows that generate insights from diverse biological datasets—directly supporting the development of safer, more sustainable agricultural solutions.

Key Responsibilities

Develop and apply state-of-the-art computational methods to address key challenges in Crop Protection Bioscience.
Design, test, and deploy data analysis tools, workflows, and modelling approaches using iterative, evidence-based methods.
Communicate analytical results, insights, and recommendations clearly to both technical and non-technical audiences.
Guide scientists on data quality, integrity, and suitability for analysis.
Collaborate across the Bioscience Digital team and wider R&D data community to share learning and drive innovation.
Monitor external scientific and computational developments and identify opportunities for application within Bioscience.

Qualifications

MSc/PhD in computational biology, data science, natural sciences, or a related discipline, with a focus on data analysis, machine learning, or multi-omics data integration.
Strong hands-on experience with Python and R for bioinformatics, data analysis, and visualisation.
Confidence building, validating, and testing machine learning models.
Experience with high-performance computing, version control systems, and reproducible digital workflows.
Ability to work autonomously and communicate effectively with researchers across diverse scientific disciplines.
Enthusiasm for innovation and solving complex biological problems through computational approaches.

Additional Information

Site Details

Jealott's Hill International Research Centre UK is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff. Jealott’s Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients, new formulation technologies, product safety and technical support of our product range.

What we offer

Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
Up to 31.5 days annual holiday.
Flexible working
We offer a position which contributes to valuable and impactful work in a stimulating and international environment.
The opportunity to develop and apply your science within the chemical industry.
The chance to work as part of a global team to address the current and future needs of the agricultural sector.
Learning culture and wide range of training options.

Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Learn more about our D&I initiatives here: https://www.syngenta.com/careers/working-syngenta/diversity-and-inclusion

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computational chemists & biologists jobs in winnersh, brk

Scientist Computational Biology

Engineering Science Consultant - Life Sciences (Graduate)

Scientist/Senior Scientist - Spatial OMICs & Spatial Biology Analysis

Senior Biostatistician

AI/ML Technical Expert – Predictive safety & multimodal biology

Principal Bioinformatics Scientist

Senior Bioinformatics Scientist

Principal Computational Methodologist (UK)

Principal Statistical Programmer

Principal Statistical Methodologist

Higher Scientist

Senior Manager, Real-World Evidence (RWE) Biostatistician

Principal Statistical Methodologist (UK)

Director, Statistical Methodology and Innovation

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