Provide harmonised and professional data analysis to support the work of Technical Product Leads and help CPD to be able to make early and data driven decision about early stage and development compounds.
Build scientific data-based models for the development compounds to help early decision making
Support the territory concerning data management processes and systems and manage data flow generated by Technical Field Scientists and contractors
Run trainings on data management systems for AME CPD team
Support the Biological Data Analytics team as their territory specialist.
Support the CPD Team by coordination and implementation of tasks associated with AME projects and launches
To support technical excellence in data capture, management and analysis. Acting as a data management champion
To build scientific (data-based) models (predictive modelling of Ai / product performance) for ongoing development compounds to support early decision making and help on risk analysis and Ai profile clarification
To ensure timely delivery of data to end users
Monitor on-time and on-quality data delivery by Technical Field Scientists and contractors
Ensure effective data and knowledge sharing using Syngenta tools (FIS, ARM, SPIRIT, and others) by user support and monitoring
Coach territory staff in application of agreed, harmonized systems processes
Ensure training in systems and best practices internally and with CROs
Contribute requirements for further development of Syngenta tools
Drive the improvement of data quality and harmonization
Participate in regional and global BDA initiatives as Subject Matter Expert
Contribute to Technology Innovation - hardware and software
Contribute to trial design optimization and statistical analysis optimization
Provide data mining for the Technical Product Leads and Technical Leads in accordance with requirements of the case (result meetings, planning meetings, registration dossiers, launch documents and other materials)
Assist Technical Field Scientists in their planning and result preparation
Ensure 2nd level data quality check for AME projects
Support Technical Leads and Technical Product Leads in data mining for the AME results and in preparation of AME Technical Launches
Provide consistency and quality of data in / from planning tool in coordination with Technical Product Leads
Provide analysis for effective resource allocation
Key user of tools (e.g. Bioplan, BioDesign, BioAnalytics, FPLS, GDB, Smartdoc, Teamspace, Spotfire)
Coordinate and manage AME CPD teamspace activities
Ensure a good technical information flow within the AME CPD team
Support CPD team in field tour organisation
Participate in main technical meetings (AME results meetings, planning meetings, launch platforms...etc.)
Ensure a very good coordination with the trialling team and provide sample logistics support (plan sample needs and allocation)
Drive digitalisation in AME
To ensure that all operations under direct control comply with Syngenta Health, Safety & Environment policies and guidelines as well as any other relevant Syngenta or statutory policies.
KNOWLEDGE, SKILLS & EXPERIENCE :
Strong Syngenta R&D IS tools background (ARM, GDB, FPLS, BioPlan, BioDesign, BioAnalytics, SPIRIT, etc.)
In-depth knowledge of different data analysis and data management
In-depth knowledge of field trial processes
Good understanding of relevant CPD processes (Product Development)
Understanding of the needs of Technical Field Scientists, Technical Product Leads, Technical Leads and CROs
Good knowledge of existing Syngenta Field Information Systems, Office applications, SpotFire and other visualisation platforms, EasyCapture and other data-analytic tools
Bring innovation in new ways of working and tools to improve performance
Excellent networking and communication capabilities
Good knowledge of trial design and guidelines
Good agronomical and plant protection knowledge
Strong verbal and written English
Scientific mind-set, applicable in planning, undertaking, interpreting and reporting of field trials
Excellent communication / inter-personal skills written, verbal, presentation
Scientific mind-set, data interpretation and analysis for both development, regulatory and marketing use
Proficiency in Word, Excel, PowerPoint and field trials software
Good English language skills (written and verbal)
Excellent team working capabilities
Excellent networking and communication capabilities. Also with different cultures and time zones
Good training skills
Strong Mathematical / Statistical / Data Analytical qualification and experience
Experience of industry data management and statistical tools
Experience in the implementation, management and analysis of field trials
Experience in knowledge management
Advantage if having experience in data modelling
Other Behaviours Critical for role
Show autonomy, initiative, efficiency
Critical success factors & key challenges
Ability to deliver high data quality working across a complex range of interfaces
Ability to drive high standards and ensure technical integrity of field trials data
To develop an effective network across the 3 AME Clusters and also with the regional colleagues
Key Relationships :
Technical Product Leads
Technical Field Scientists
BDA (Biological Data Analytics Team)
Technical Support Coordinators
Syngenta Leadership Capabilities
Execution and Results Orientation - Manages work performance to efficiently complete responsibilities. Demonstrates initiative and a strong commitment to achieving meaningful results, meeting or exceeding goals, and acting on opportunities to create value.
Judgment - Analyze problems to make effective and sound decisions.
Focuses on customers - Dedicated to meeting the expectations and requirements of internal and external customers.
Manages for performance - Skillfully plans, organizes and monitors performance to create value and achieve excellence in delivery.
Engage and inspire - Fosters personal achievement and excellence. Encourage high standards of performance in others.
The successful applicant must be able to demonstrate that they are eligible to live and carry out the particular role in Morocco
Some travel, mostly within the 3 AME clusters
Employee may, as part of his / her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions.
In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.