561 Agronomist Remote Research jobs in Kenya
Agronomist - Remote Data Analysis & Consultation
Posted 21 days ago
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Lead Agronomist - Remote Data Analysis & Consulting
Posted 1 day ago
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Senior Agronomist - Remote Data Analysis
Posted 5 days ago
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Responsibilities:
- Analyze large agricultural datasets including soil, weather, crop, and sensor data.
- Develop and validate predictive models for crop yields, health, and resource management.
- Provide remote expert advice on agronomic practices, pest management, and fertilization strategies.
- Interpret remote sensing data (satellite imagery, drone data) for crop health assessment.
- Collaborate with R&D teams on testing and implementing new agricultural technologies.
- Contribute to the scientific integrity and improvement of agricultural software platforms.
- Communicate complex findings and recommendations clearly to farmers and stakeholders.
- Stay updated on the latest research in agronomy, plant science, and agricultural technology.
- Manage multiple research projects and data analysis tasks concurrently.
- Ensure data quality and integrity throughout the analysis process.
Qualifications:
- Master's or PhD in Agronomy, Soil Science, Plant Science, or a related agricultural field.
- Minimum of 7 years of experience in applied agronomy or agricultural research.
- Proven expertise in agricultural data analysis, statistical modeling, and interpretation.
- Proficiency in data analysis tools and programming languages (e.g., R, Python, SAS).
- Experience with GIS and remote sensing software (e.g., ArcGIS, QGIS, ENVI).
- Strong understanding of crop physiology, soil science, and plant pathology.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote setting.
- Experience with agricultural sensors and IoT devices is a plus.
Agronomist - Remote Research Specialist
Posted 2 days ago
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The ideal candidate will possess a Master's or Ph.D. in Agronomy, Plant Science, Soil Science, or a closely related field. Proven experience in agricultural research, data analysis, and scientific writing is essential. You must demonstrate a strong understanding of experimental design and statistical analysis. Excellent written and verbal communication skills are required to disseminate research findings effectively. Familiarity with relevant agricultural software and data management tools is a plus. This is a fully remote position, demanding a high level of self-motivation, discipline, and the ability to manage time and projects efficiently without direct supervision. A commitment to advancing agricultural science and sustainability is paramount. If you are a passionate agronomist looking to make a significant impact from anywhere in the world, we encourage you to apply and contribute to the future of agriculture.
Lead Agronomist - Remote Sensing & Data Analysis
Posted 20 days ago
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Agronomist - Remote Research
Posted 19 days ago
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Responsibilities:
- Design, implement, and manage agronomic research trials.
- Collect, analyze, and interpret data from field experiments.
- Develop recommendations for crop nutrition, irrigation, and pest management strategies.
- Evaluate new crop varieties, fertilizers, and agricultural technologies.
- Monitor soil health and recommend sustainable soil management practices.
- Provide technical expertise and support to farmers and agricultural stakeholders.
- Stay current with the latest advancements in agronomy and agricultural science.
- Prepare detailed research reports, scientific publications, and presentations.
- Collaborate with cross-functional teams, including plant breeders and data scientists.
- Ensure compliance with all research protocols and safety standards.
Qualifications:
- Master's degree or Ph.D. in Agronomy, Soil Science, Plant Science, or a related agricultural field.
- Minimum of 5 years of experience in agronomic research, crop management, or agricultural extension.
- Proven experience in designing and conducting field trials.
- Strong understanding of soil chemistry, plant physiology, and crop science.
- Proficiency in statistical analysis software (e.g., R, SAS) and data management tools.
- Excellent written and verbal communication skills.
- Ability to work autonomously, manage projects efficiently, and meet deadlines in a remote setting.
- Experience with precision agriculture techniques is a plus.
- Knowledge of local crops and agricultural practices relevant to Embu, Embu, KE is beneficial.
- Passion for sustainable agriculture and improving farming outcomes.
Senior Agronomist - Remote Sensing & Data Analysis
Posted 21 days ago
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Responsibilities:
- Develop and implement methodologies for analyzing satellite imagery, drone data, and other geospatial information for agricultural applications.
- Process and interpret large datasets to identify crop health issues, growth patterns, and environmental factors.
- Utilize remote sensing techniques and software (e.g., ArcGIS, QGIS, ENVI, ERDAS Imagine) to extract meaningful agricultural insights.
- Develop predictive models for crop yield forecasting, disease detection, and resource management.
- Collaborate with agronomists, farmers, and researchers to translate data insights into actionable recommendations for improved farm management.
- Design and manage field data collection protocols to validate remote sensing data.
- Prepare comprehensive reports and presentations to communicate findings and recommendations to stakeholders.
- Stay abreast of the latest advancements in remote sensing technology, geospatial analysis, and agricultural science.
- Contribute to the development of innovative solutions for precision agriculture.
- Mentor junior team members and share expertise in geospatial data analysis.
- Master's or PhD in Agronomy, Agricultural Science, Geography, Remote Sensing, or a related field.
- Minimum of 5 years of experience in applying remote sensing and GIS techniques to agricultural challenges.
- Proven proficiency in analyzing satellite and aerial imagery (e.g., Sentinel, Landsat, Planet).
- Strong command of geospatial software (ArcGIS, QGIS) and image processing software (ENVI, ERDAS Imagine).
- Experience with statistical analysis and programming languages (e.g., Python, R) for data analysis.
- Solid understanding of agronomic principles and crop physiology.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with machine learning applications in remote sensing is a plus.
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Remote Agronomist - Remote Sensing & Data Analysis
Posted 6 days ago
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Responsibilities:
- Analyze satellite imagery, drone data, and other remote sensing data to assess crop health, soil conditions, and water stress.
- Utilize GIS software (e.g., ArcGIS, QGIS) for spatial analysis, mapping, and data visualization.
- Develop and implement algorithms for crop classification, yield prediction, and anomaly detection.
- Provide expert agronomic advice based on data analysis, including recommendations for fertilization, irrigation, and pest management.
- Collaborate with farmers, agronomists, and agricultural consultants to interpret data and implement solutions.
- Develop reports and presentations to communicate findings and recommendations clearly and effectively.
- Stay abreast of the latest advancements in remote sensing technology, agronomy, and data science.
- Contribute to the development of new products and services leveraging remote sensing data.
- Manage client relationships and provide ongoing technical support.
- Conduct field research or coordinate with field agents to validate remote sensing data and findings.
- Ensure data accuracy, integrity, and security throughout the analysis process.
- Design and conduct pilot studies for new precision agriculture techniques.
- Troubleshoot technical issues related to data acquisition and processing.
Qualifications:
- Master's or Ph.D. in Agronomy, Soil Science, Geography, Remote Sensing, or a related agricultural science field.
- Minimum of 3-5 years of experience in agronomy with a focus on remote sensing and GIS applications.
- Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS software (e.g., ArcGIS, QGIS).
- Strong understanding of crop physiology, soil science, and agricultural practices.
- Experience with programming languages commonly used in data analysis (e.g., Python, R) is highly desirable.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills, with the ability to explain complex data to diverse audiences.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Must have a reliable high-speed internet connection and a dedicated, professional remote workspace.
- Passion for sustainable agriculture and technological innovation.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
This is a unique opportunity to leverage cutting-edge technology to revolutionize agriculture in a fully remote role. If you are a skilled agronomist passionate about data-driven farming, we encourage you to apply.
Senior Agronomist - Remote Sensing and Data Analysis
Posted 11 days ago
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Key Responsibilities:
- Acquire, process, and analyze remote sensing data (satellite imagery, aerial photography, LiDAR) for agricultural applications.
- Develop and implement algorithms for crop monitoring, yield prediction, soil analysis, and stress detection.
- Utilize GIS software to create thematic maps and spatial analyses for decision support.
- Interpret data to provide expert agronomic recommendations on fertilization, irrigation, pest management, and crop health.
- Collaborate with research teams to validate remote sensing-derived insights and refine analytical models.
- Design and manage field trials to collect ground-truth data for model calibration and validation.
- Communicate complex technical findings and recommendations to farmers, agronomists, and other stakeholders through reports and presentations.
- Stay abreast of the latest advancements in remote sensing, GIS, precision agriculture, and agronomy.
- Contribute to the development of new products and services utilizing remote sensing technologies.
- Mentor junior data scientists and agronomists on the team.
- Master's or Ph.D. in Agronomy, Soil Science, Remote Sensing, Geography, or a related field.
- Minimum of 7 years of experience in applying remote sensing and GIS technologies to agriculture.
- Proven expertise in image processing software (e.g., ERDAS Imagine, ENVI, ArcGIS Pro, QGIS) and statistical analysis software (e.g., R, Python).
- Strong understanding of crop physiology, soil science, and agronomic principles.
- Experience with different satellite platforms and sensor types.
- Excellent data analysis, interpretation, and visualization skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-experts.
- Ability to work independently and collaboratively in a remote, fast-paced environment.
- Experience with precision agriculture techniques and variable rate application is a plus.
Lead Agronomist & Soil Scientist (Remote)
Posted 18 days ago
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