Data Scientist Biologicals Research

Biologicals research discovers, characterizes, optimizes, and produces novel biologicals derived from nature-naturally occurring microbes, extracts, or molecules that protect plants from pests and diseases or improve plant and soil health. In this role, you will work with Syngenta.

• Learn and understand the Biologicals data landscape, key data attributes, and experimental capabilities to identify opportunities for enabling and enhancing science through the deployment of analytical methods and multi-omics approaches.
• Evaluate and develop new data analysis tools, validate findings using a trial and iterative approach, and effectively communicate findings to technical and non-technical audiences.
• Curate large-scale omics datasets for biomarker, mode of action, and trait discovery, while identifying data needs and providing recommendations to scientists to ensure data quantity and integrity for analyses.
• Shape Biologicals data analysis strategy and work collaboratively to deliver and deploy new approaches, share learning, and drive innovation in digital and data science including technology foresight.
• Work with R&D IT and software developers to improve predictive model deployment applications tailored to stakeholder needs, and support business users with change management initiatives to manage data more effectively., We offer a variety of financial and non-financial benefits including:
• We offer a position which contributes to valuable and impactful work in a stimulating and international environment
• The opportunity to make a difference to process safety, both within Syngenta's global operations, and in shaping safety legislation and culture worldwide
• A superb working environment with an open culture and diverse workforce where new ideas are always welcome
• The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence
• Learning culture (Together we Grow) and wide range of training options
• You will profit from a competitive pension fund plan, flexible working, attractive bonus system, onsite doctor, fitness room, canteen, and other benefits (Family friendly initiatives, Child and Family allowance…)

Do you have a Master's degree?, * MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field with experience in natural sciences (e.g., chemical biology, ecology, environmental sciences).

• 3+ years of experience applying machine learning to complex biological, biochemical, environmental, or agricultural datasets.
• Strong understanding of experimentally derived biological data, data types, and appropriate analysis methods, including multivariate statistics.
• Strong proficiency in Python and/or R, UNIX/Linux environments, and ML frameworks.
• Proven ability to handle large datasets and use data analysis packages for 'omics data analysis and data visualization., * Demonstrated ability to inspire and collaborate with others to achieve excellence in scientific work.
• Strong passion for innovation and problem-solving with the ability to work effectively in a dynamic, fast-paced environment.
• Experience working cross-functionally with IT, software developers, and business stakeholders to deploy data science solutions.

Seit 2001 verbindet SYNGENIO als Branchenexperte fachliche Beratung mit Entwicklung und Softwareimplementierung. Wir entwickeln wegweisende IT-Lösungen für die Zukunft im eBanking; wir realisieren Projekte bei renommierten Banken und Finanzdienstleistern in Deutschland.

Zur Verstärkung unserer Teams suchen wir leidenschaftliche Entwickler und Entwicklerinnen mit fundierten Erfahrungen. Du möchtest gemeinsam mit uns und unseren Kunden die Bankenwelt von morgen mitgestalten? Dann suchst Du SYNGENIO und SYNGENIO sucht Dich. Mach den ersten Schritt und bewirb Dich als (Senior) Fullstack eBanking Entwickler / Developer.