5,179 Senior Agronomist Remote Data Analysis jobs in Kenya
Agronomist - Remote Research Specialist
Posted 3 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.
Agronomist - Remote Data Analysis & Consultation
Posted 22 days ago
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Senior Agronomist - Remote Seed Research Specialist
Posted 21 days ago
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Responsibilities:
- Design, implement, and manage field and laboratory experiments for seed trait evaluation and crop performance optimization.
- Collect, analyze, and interpret complex agronomic data using statistical software and advanced analytical techniques.
- Develop and refine protocols for seed viability testing, germination studies, and stress tolerance assessments.
- Collaborate remotely with plant breeders, geneticists, and other scientists to translate research findings into actionable insights.
- Prepare detailed reports, scientific publications, and presentations on research outcomes for both technical and non-technical audiences.
- Stay abreast of the latest advancements in agronomy, plant physiology, genetics, and agricultural biotechnology.
- Provide technical guidance and mentorship to junior researchers and field technicians.
- Contribute to the development of intellectual property and research proposals.
- Ensure adherence to all safety and regulatory standards in experimental procedures.
Qualifications:
- Master's degree or Ph.D. in Agronomy, Plant Science, Crop Science, or a closely related field.
- Minimum of 7 years of progressive experience in agricultural research, with a strong focus on seed science and crop physiology.
- Proven track record in designing and executing complex field trials and interpreting results.
- Proficiency in statistical analysis software (e.g., R, SAS, SPSS) and data visualization tools.
- Excellent understanding of genetics, breeding principles, and molecular biology techniques relevant to crop improvement.
- Demonstrated ability to work independently and as part of a remote, international team.
- Exceptional written and verbal communication skills, with the ability to communicate complex scientific concepts clearly.
- Experience with remote collaboration tools and platforms.
- Strong problem-solving skills and a meticulous approach to research.
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.
Lead Agronomist - Remote Sensing & Data Analysis
Posted 21 days ago
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Senior Agronomist - Remote Sensing & Data Analysis
Posted 6 days ago
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Key Responsibilities:
- Utilize satellite imagery, drone data, and other remote sensing technologies to assess crop health, growth stages, and identify potential issues (e.g., disease, nutrient deficiencies, water stress).
- Develop and implement data analysis workflows for processing, interpreting, and visualizing geospatial agricultural data.
- Create detailed reports and recommendations for farmers, agronomists, and agricultural stakeholders based on remote sensing analysis.
- Integrate remote sensing data with other agricultural datasets (e.g., soil data, weather data, yield data) for comprehensive analysis.
- Monitor agricultural landscapes for changes, land use patterns, and environmental impacts.
- Collaborate with research teams, agronomists, and field personnel to validate findings and refine methodologies.
- Stay abreast of advancements in remote sensing technologies, GIS software, and agricultural data analytics.
- Contribute to the development of precision agriculture solutions and tools.
- Provide training and technical support to users on remote sensing applications in agriculture.
- Ensure the quality and accuracy of analyzed data and reported findings.
- Master's degree or PhD in Agronomy, Agricultural Science, Geosciences, Remote Sensing, or a related field.
- Minimum of 6 years of experience in agronomy, with a strong specialization in remote sensing and geospatial data analysis.
- Proven experience with satellite imagery processing (e.g., Landsat, Sentinel, Planet) and analysis platforms (e.g., Google Earth Engine, ENVI, ArcGIS).
- Proficiency in data analysis and statistical software (e.g., R, Python, MATLAB).
- Strong understanding of crop physiology, soil science, and plant pathology.
- Experience with GIS software and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently and manage multiple projects in a remote setting.
- A passion for sustainable agriculture and innovative solutions.
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Remote Agronomist - Remote Sensing & Data Analysis
Posted 7 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.
Remote Agronomist (Data Analysis & Crop Management)
Posted 11 days ago
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Senior Agronomist - Remote Sensing and Data Analysis
Posted 12 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.