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Sunflower Data Analyst Scientist (H/F)

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Contenu de l'offre Sunflower Data Analyst Scientist (H/F) chez Syngenta

Syngenta is leading science-based agtech company; dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

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


As part of our activities in France, we are looking for a :

Sunflower Data Analyst Scientist (H/F)


Role purpose :

As a Data Analyst Scientist, reporting to the Global Project Leader, you contribute to drive genetic gain by the improvement of data, their access, quality and analysis, to help breeding teams take best decisions about production development, selection and placement.


You work in an international context; in a multi-business environment with Breeders, Trialling, Genetic Specialists (AGS), and several other groups, related to data production or analysis.

The position is offered on a permanent contract, and based in France/Saint-Sauveur (31).


Occasional and short-term travel, in France and abroad, is expected.


Accountabilities:


You guarantee the access to data needed by breeding activities (phenotypic data, environment, production, image analysis …): which implies data accessibility, in format and systems that allow fast queries, quality control and data automation, to be used by different tools and different purposes.
You also guarantee the quality and standardization of the data across regions and functions (coding and identity material’s rules, statistics…).
You contribute to the continuous improvement of :

Statistical Data analysis by developing new guidelines for phenotypic data aggregation and imputation, implementing new tools in breeding, integrating environmental data and image analysis Performance criteria: genetic gain, comparison of selection schemes, optimisation of selection parameters (number of crosses, progeny, testers...). You also contribute to the development and integration of IT tools that allow a more efficient access and use of phenotypic and environmental data.

You provide support and help users in new statistical methods to ensure that quality data is used by all to contribute to the development and selection of the best hybrids, their placement as expected by the market, etc.
Finally, you work in active-collaboration with several groups, within Seed Development, with the Operations teams and in particular the Trials Excellence team (choice of networks, experimental design...).

With your counterparts of other crops (corn, cereals). And with the Analytics and Data Science teams (on the methods and tools part), and Pipeline Enablement (on the innovative phenotyping part).


Qualifications Qualifications and Skills :
Bachelor degree with 5 years’ experience, or Master/Engineer degree specialising in Agronomy and/or Data Management.
You have a good knowledge of statistics (descriptive, linear and mixed models, multi-variable analyses, etc.) and Agronomy (interaction with the environment, biotic and abiotic plant stresses, agricultural practices, etc.).


And also, good knowledge of selection theory and quantitative genetics.
You are very comfortable with the use of computer tools /data management (Excel, Access...). Statistical software’s knowledge (such as JMP...) and/or programming (such as VBA, R, PYTHON) is a plus for your application.
English fluent/professional level is imperative for this position (emails, meetings, technical documentation...), Spanish practice would be appreciated
Autonomous and rigorous, you are able to evolve in a complex environment, within a matrix organization.
Good communicator, you are able to work in a multi-business environment and adapt to your interlocutors.
Pedagogue, users are at the centre of your priorities: functional analysis of the existing system, collection of needs, proposal of solutions, follow-up of requests and prioritisation, training in new tools, etc...
#SYNFRA

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, colour, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Primary Location: FRA-Saint-Sauveur-Saint-Sauveur Job: R&D - Development

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Sunflower Data Analyst Scientist (H/F)
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