Computational chemists & biologists Work, Jobs in Penn, Bkm (with Salaries)

Scientist Computational Biology
Syngenta Crop Protection —Bracknell
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
- Life insurance
Quick apply
7d
Senior Biostatistician
Everest Clinical Research —Croxley Green
- Remote
- Doctoral degree
- Master's degree
- Quality control
- Work from home
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
6d
Bioinformatics Data Scientist
Engitix —London
- Research
- Machine learning
- Scripting
Quick apply
Principal Statistical Methodologist
UCB —Slough
- Doctoral degree
Principal Bioinformatics Scientist
UCB —Slough
- Doctoral degree
- AWS
- Machine learning
Research Associate in Computational Biomolecular Physics
Imperial College London —South Kensington
- Full-time
- Doctoral degree
- Research
- Analysis skills
Statistical Programmer
University of Oxford —Oxford
- £39,424 - £47,779 a year
- Full-time
- Epic
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
Senior Bioinformatics Scientist
UCB —Slough
- Doctoral degree
- Master's degree
- AWS
13d
Principal Statistical Methodologist (UK)
UCB —Slough
- Doctoral degree
- Machine learning
- AI
Principal Computational Methodologist (UK)
UCB —Slough
- Doctoral degree
- Computer Science
- Engineering
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
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
14d
Principal Statistical Programmer
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Team management
- Travel
- In-person
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
4d
Director, Statistical Methodology and Innovation
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Doctoral degree
- Travel
- Mentoring
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 Associate in Infectious Disease Modelling
Imperial College London —White City
- £50,733 - £59,484 a year
- Full-time
- Doctoral degree
- Travel
1d
Research Fellow - Medical Statistician
University College London —London
- £43,981 - £54,019 a year
- Full-time
- Hybrid work
- Annual leave
- Employee assistance programme
3d

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Scientist Computational Biology

Syngenta Crop Protection -
Bracknell

Quick apply

Job details

Full-time
7 days ago

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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Refine Your Search

computational chemists & biologists jobs in penn, bkm

Scientist Computational Biology

Senior Biostatistician

Research Assistant (Computational Data Analyst)

Bioinformatics Data Scientist

Principal Statistical Methodologist

Principal Bioinformatics Scientist

Research Associate in Computational Biomolecular Physics

Statistical Programmer

Research Fellow in Computational Biology and AI

Senior Bioinformatics Scientist

Principal Statistical Methodologist (UK)

Principal Computational Methodologist (UK)

Research Assistant in Brain Vascular Epigenomics – UK Dementia Research Institute

Research Assistant / Associate in Transmission Dynamics Modelling

Principal Statistical Programmer

Research Fellow in Biopharmaceutical Process Analytics

Director, Statistical Methodology and Innovation

Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences

Research Associate in Infectious Disease Modelling

Research Fellow - Medical Statistician

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