Computational Biologists - Bioscience and Biology

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Syngenta’s Crop Protection Bioscience and Biology functions are looking for Computational Biologists to deliver innovation in the analysis and integration of ‘omics data to advance discovery of products for crop protection and plant health improvement. You will collaborate with scientists across the Crop Protection business to build a vision of how to approach future challenges in crop health management using a biology-centric approach. You will use your experience in the analysis of ‘omic data (transcriptomic, proteomic, metabolomic) to generate new analysis approaches and models to derive insights and fundamental understanding to support advances in future biological screening platforms and experimental programs. You will help with experimental design, asses the quality of data generated, develop and apply analysis tools, and teach individual scientists how to use them. By exploiting your own broad external network and collaborating with academic research groups, you will support the innovation, science and technology required to deliver the Syngenta Crop Protection strategy

Accountabilities:

• Learn and understand the Biology and Bioscience data landscape, key data attributes and experimental capabilities to identify opportunities for enabling and enhancing our science through the deployment of multi-omic approaches
• Research and apply state of the art computational approaches to address Crop Protection challenges
• Evaluate new data analysis tools—validate findings using a trial and iterative approach and effectively communicate findings to technical and non-technical audiences
• Identify data needs and provide recommendations to scientists to ensure the quantity and verify the integrity of data used for analyses
• Work collaboratively as part of the Bioscience and Biology Digital teams and the wider data community to deliver and deploy new approaches, share learning, and drive innovation in digital and data science including technology foresight

Education & Experience:

MSc/PhD (or equivalent experience) in natural sciences with focus on analysis of data and data integration, data science and/or machine learning and experience in Bioinformatics and the integration and analysis of ‘omic data. Postdoctoral experience in life sciences research or experience in an R&D environment would be a plus.

Required Skills:

• Enthusiasm for visual analytics and data science
• Dynamic personality with passion for innovation and problem-solving
• A good understanding of experimentally derived biological data, data types and appropriate analytical methods, including multivariate statistics
• Ability to work in multi-functional teams
• Thorough understanding and hands-on experience with omics data analysis and data visualization tools, such as, Panhunter, IPA, Knime, SIMCA, R, Spotfire etc.
• Familiarity with relational and non-relational data systems and understanding of good data management practices for scientific data
• Proficiency in both written and verbal communication skills
• Ability to manage and contribute to projects autonomously
• Experience with version control systems, notebooks and creating reproducible digital workflows

In return for your skills and knowledge Syngenta will offer:

• Competitive benefits package including opportunities for flexible working.
• Up to 31.5 days annual holiday.
• Interaction with external researchers and opportunities to represent Syngenta in research networks, collaborations and conferences.
• Good onsite facilities including a staff restaurant, a gym and fitness classes.
• Campus environment based at Jealott’s Hill located in the Berkshire countryside between Bracknell and Maidenhead.
• Great opportunities for personal and career development.
• A modern, stimulating and dynamic working environment which promotes diversity and inclusion, scientific excellence and collaboration.
• A job and responsibilities with purpose at state-of-the-art facilities within a world class R&D campus site.