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Trait Introgression Scientist – Sunflower (HF) CDIsyngenta group • Saint-Sauveur, Nouvelle-Aquitaine, France
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Trait Introgression Scientist – Sunflower (HF) CDI

Trait Introgression Scientist – Sunflower (HF) CDI

syngenta group • Saint-Sauveur, Nouvelle-Aquitaine, France
Il y a 7 jours
Type de contrat
  • Temps plein
Description de poste

Within the Sunflower R&D team you contribute to the Trait Introgression (TI) strategy by delivering high-level scientific and technological expertise. Your role is essential in guiding decisions within the Sunflower TI portfolio.

Responsibilities:

Conversion activities management

  • Planning of field nurseries (resources timelines protocols) selfing generations hybrid creation seed treatment and quality control
  • Design of protocols and trials training of operational teams
  • Evaluation of phenotyping methods and capture of agronomic and pathological data in the field
  • Coordination with cross-functional teams (Operations Field Trials Breeding Planning)
  • Seed delivery to stakeholders according to protocols and internal documentation

Trait Introgression pipeline management

  • Analysis synthesis and interpretation of complex TI pipeline data to generate strategic reports dashboards and decision notes for R&D teams and leadership
  • Ensuring recording maintenance and update of all TI projects in tracking systems and project management tools
  • Consolidation and validation of key data sources (genotyping phenotyping) and reporting via Power BI and Qlik Sense
  • Development of analytical scripts and automated workflows (Python R SQL) to improve data flow efficiency pipeline visibility and process traceability

Qualifications :

Required:

Education

  • Masters degree required (PhD preferred) in Agronomy Plant Breeding/Genetics Crop Science or related fields

Experience and technical skills

  • Strong experience in quantitative/population genetics genetic segregation genomics novel breeding methods and trait introgression strategies
  • Expertise in phenotyping methods and ability to capture agronomic and pathological field notes
  • Knowledge of genotyping methods and processes molecular data management metrics consolidation and reporting
  • Proficiency in dashboard tools (Power BI Qlik Sense)
  • Programming skills (Python R SQL) appreciated

Personal qualities

  • Strong analytical and synthesis skills ability to extract key insights from large volumes of information
  • Intellectual curiosity and proactive mindset
  • Strategic thinking problem-solving orientation
  • Autonomy rigor and effective prioritization
  • Excellent interpersonal skills and ability to work in multidisciplinary teams
  • Strong written and oral communication skills
  • Fluent English required


Additional Information :

What we offer

  • A key scientific role within a recognized international R&D team
  • The opportunity to contribute to strategic breeding programs for global sunflower
  • A collaborative work environment fostering continuous learning and talent development
  • Career development opportunities within a global group
  • A site demonstrating cultural and generational diversity (28 nationalities balanced gender representation)
  • Attractive compensation package aligned with experience and comprehensive benefits

Apply

Join a team passionate about innovation for sustainable agriculture.

Syngenta is committed to ensuring an inclusive and accessible recruitment process for all.

By joining us you contribute to Bringing plant potential to life unlocking the potential of plants to feed tomorrows world while preserving our planet.

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.

#LI-Hybrid


Remote Work :

No


Employment Type :

Full-time


Experience: years
Vacancy: 1

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Trait Introgression Scientist – Sunflower (HF) CDI • Saint-Sauveur, Nouvelle-Aquitaine, France