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- Collaborate in developing workplans for evidence synthesis projects like the Adaptation Atlas Evidence for Resilient Agriculture and Sustainable Farming overseeing data management for systematic reviews and metaanalyses while introducing innovative methodologies to improve synthesis outcomes.
- Oversee the entire lifecycle of evidencerelated data ensuring accuracy and reliability during dataset merging across partners.
- Contribute to datasharing principles and agreements (in coordination with the Alliance Data Management Team) to maintain data integrity security and availability across projects.
- Codesign and implement scalable automated data infrastructures for efficient collection processing and analysis.
- Ensure adherence to ethical standards in data privacy consent and integrity with quality assurance to reduce errors or bias.
- Develop and present detailed reports on evidence synthesis activities providing clear insights for decisionmaking and strategic planning.
- Plan develop and execute data science and visualization projects using R and Python incorporating AI and Bayesian methods to improve evidence synthesis.
- Automate processes for efficient data analysis and reporting enhancing workflow from data collection to actionable insights.
- Provide technical guidance and training through workshops and tailored materials to enhance partners skills in evidence synthesis.
- Contribute to scientific writings technical reports and opensource tools that advance evidence synthesis and support decisionmaking in climate action.
- Collaborate with internal Alliance teams especially within the Climate Action Lever to align data strategies with organizational goals and ensure a unified approach to climate data management.
- Engage with external stakeholders including scientific colleagues and partners to integrate climate data into decisionmaking and ensure research efforts meet their needs and objectives.
- Master s degree in Environmental Science Climate Science Data Science Computer Science Statistics Agriculture Geography Ecology or related field.
- Previous relevant professional experience required.
- Proficiency in data analysis and programming languages such as R or Python with expertise in Geographic Information Systems (GIS) remote sensing environmental modeling data management and climate change adaptation and mitigation strategies a plus.
- Expertise in using R for data analysis with a strong command of advanced statistical methods including Bayesian statistics. Proficiency in version control systems such as GitHub is essential for maintaining code integrity facilitating collaboration and ensuring reproducibility in data analysis.
- Exceptional ability to clearly communicate complex datadriven insights and concepts both in written form and through verbal presentations. Adept at tailoring communication to diverse audiences ensuring that technical information is accessible and actionable.
- Deep understanding of the biophysical and socioeconomic factors affecting agricultural systems including adaptive capacity and vulnerability within these systems. Proficiency in integrating land use socioeconomic and climate data to assess impacts on agricultural landscapes.
- Adaptability to dynamic environments and effective stakeholder engagement.
- Strong teamwork and interpersonal skills with the ability to work in diverse teams.
- Professional fluency in English both written and verbal.
- Eagerness to learn and adapt to new technologies.
- Knowledge of French language both written and verbal would be an asset.
- Experience of working with the Evidence for Resilient Agriculture (ERA) data extraction and analysis systems for metaanalysis is desirable.
- Experience with the process of conducting and reporting metaanalysis is desirable.
Full Time