What Jobs are available for Crop Cultivation in Kenya?

• Lead the design and implementation of cutting-edge research programs in crop genetics and breeding.
• Utilize advanced genomic tools and bioinformatics approaches for marker-assisted selection and genomic prediction.
• Develop and optimize high-throughput phenotyping strategies for various crop traits.
• Conduct quantitative genetic analyses to understand the inheritance of desirable traits.
• Manage and analyze large-scale genomic and phenotypic datasets using statistical software and programming languages.
• Collaborate with plant breeders to translate genetic discoveries into improved crop cultivars.
• Develop and implement gene editing technologies for crop improvement.
• Write comprehensive research proposals and secure competitive funding.
• Publish research findings in high-impact peer-reviewed journals and present at international scientific meetings.
• Mentor junior scientists and postdoctoral researchers.
• Stay abreast of the latest advancements in crop genetics, genomics, and breeding technologies.
• Ensure data integrity and adherence to ethical research practices.
• Contribute to the strategic planning of the company's research and development pipeline.
• Effectively communicate complex scientific concepts to diverse audiences, including internal teams and external partners.
• Manage laboratory resources and oversee research project timelines and budgets.

• Ph.D. in Plant Genetics, Plant Breeding, Molecular Biology, Genomics, or a related field.
• Minimum of 8 years of post-doctoral research experience in crop genetics and breeding.
• Proven track record of independent research, grant writing, and publication in top-tier journals.
• Expertise in quantitative genetics, population genetics, and statistical genomics.
• Proficiency in bioinformatics tools and programming languages (e.g., R, Python, Perl).
• Experience with next-generation sequencing data analysis and genomic selection.
• Strong understanding of plant physiology and molecular mechanisms of trait development.
• Demonstrated ability to lead research projects and mentor scientific staff in a remote setting.
• Excellent written and verbal communication skills.
• Familiarity with various crop species and their breeding systems is advantageous.
• Experience with gene editing technologies (e.g., CRISPR-Cas9) is a plus.
• Ability to work independently and collaboratively in a dynamic, international research environment.

• Lead and manage research projects focused on crop genetics, genomics, and breeding.
• Design and execute experiments utilizing advanced molecular biology techniques, including gene editing and marker-assisted selection.
• Analyze large-scale genomic datasets to identify key genes and genetic variations associated with desirable crop traits.
• Develop and implement strategies for improving crop performance, disease resistance, and environmental adaptability.
• Collaborate with breeders and agronomists to translate research findings into practical breeding programs.
• Mentor and guide a team of research associates and technicians, fostering a culture of scientific excellence.
• Publish research findings in high-impact scientific journals and present at international conferences.
• Secure research funding through grant writing and proposal development.
• Establish and maintain collaborations with academic institutions and industry partners.
• Ensure adherence to best practices in laboratory management and research ethics.

• Ph.D. in Genetics, Plant Breeding, Molecular Biology, or a related field.
• Minimum of 8 years of postdoctoral research experience in crop genetics and genomics.
• Demonstrated success in leading research teams and managing complex research projects.
• Expertise in genomics technologies, including next-generation sequencing (NGS), bioinformatics, and statistical genetics.
• Proficiency in relevant bioinformatics tools and programming languages (e.g., R, Python).
• Strong publication record in reputable peer-reviewed journals.
• Excellent understanding of plant physiology and breeding principles.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Outstanding communication and interpersonal skills, essential for remote team collaboration and stakeholder engagement.
• Proven ability to work independently and drive research initiatives forward in a remote setting.
• Experience with specific crops relevant to African agriculture is a strong asset.

We are hiring agricultural specialist with experience in any of this sectors ; Extension, engineering , agronomist and researchers .

Here are the requirements

1. National id or passport

2. Valid professional documents

3. Experience

• Develop, implement, and manage precision agriculture strategies and technologies, including GPS guidance, variable rate application, and remote sensing.
• Analyze agricultural data (soil, weather, crop health) to provide actionable insights and recommendations for farmers.
• Oversee the deployment and maintenance of agricultural sensors, drones, and other IoT devices on farms.
• Train and support farmers and field staff on the use of precision farming equipment and software platforms.
• Collaborate with research and development teams to test and integrate new agricultural technologies.
• Create detailed reports and case studies on the impact of precision farming techniques.
• Provide technical expertise and troubleshooting for any issues related to agricultural technology systems.
• Stay informed about the latest trends and innovations in agricultural science and technology.
• Ensure adherence to environmental regulations and promote sustainable farming practices.

• Bachelor's or Master's degree in Agricultural Science, Agronomy, Agricultural Engineering, or a related field.
• Minimum of 6 years of experience in agricultural technology, precision farming, or a related area.
• Strong understanding of crop production, soil science, and farm management principles.
• Proficiency in data analysis software and agricultural management information systems (e.g., GIS, remote sensing platforms).
• Experience with GPS-guided equipment, drones, and sensor technologies in an agricultural context.
• Excellent communication, training, and interpersonal skills, with the ability to engage effectively with diverse stakeholders in a remote setting.
• Proven ability to work independently, manage projects, and deliver results.
• Familiarity with Kenyan agricultural landscape and challenges is a plus.

• Implement and manage precision agriculture technologies and systems.
• Collect, process, and analyze data from various agricultural sensors, drones, and machinery.
• Develop data-driven recommendations for variable rate application of fertilizers, pesticides, and water.
• Utilize GIS and remote sensing tools for crop monitoring and yield prediction.
• Create detailed maps and reports for farm management decisions.
• Provide remote technical support and training to farmers on precision farming tools and techniques.
• Stay abreast of advancements in agricultural technology, data science, and sustainable practices.
• Collaborate with equipment manufacturers, software providers, and research institutions.
• Troubleshoot and resolve technical issues related to precision agriculture systems.
• Contribute to the development of new precision farming solutions and strategies.
• Ensure data integrity and security for all collected agricultural information.
• Assist in developing business cases for adopting new precision farming technologies.

• A Bachelor's or Master's degree in Agricultural Engineering, Agronomy, Geomatics, Computer Science, or a related field.
• Minimum of 3-5 years of experience in precision agriculture or agricultural technology.
• Proven experience with GIS software (e.g., ArcGIS, QGIS), remote sensing, and data analytics platforms.
• Familiarity with agricultural hardware, including GPS systems, sensors, and drone technology.
• Strong understanding of agronomic principles and crop management.
• Proficiency in data analysis and statistical software.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• A passion for leveraging technology to improve agricultural efficiency and sustainability.
• Experience with programming languages like Python for data analysis is a plus.

• Provide remote technical support and consultation on precision agriculture technologies.
• Assist farmers in implementing and optimizing GPS, sensor, and mapping technologies.
• Analyze data from various sources (e.g., soil sensors, weather stations, drones, machinery) to provide actionable insights.
• Advise on variable rate application strategies for fertilizers, pesticides, and seeds.
• Guide farmers in the use of farm management software for planning, monitoring, and record-keeping.
• Develop customized precision agriculture plans tailored to specific farm needs and crop types.
• Troubleshoot technical issues related to precision farming equipment and software.
• Educate farmers on best practices for data collection and interpretation.
• Stay current with advancements in agricultural technology and sustainable farming practices.
• Promote the benefits of precision agriculture to foster wider adoption.

• Bachelor's or Master's degree in Agronomy, Agricultural Engineering, Data Science, or a related field.
• Proven experience in precision agriculture, smart farming, or agricultural data analysis.
• Strong understanding of GPS, GIS, remote sensing, and data management systems in agriculture.
• Familiarity with various farm management software and precision ag platforms.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical users.
• Ability to work independently and manage time effectively in a remote environment.
• Knowledge of crop physiology and soil science is highly desirable.
• Experience with drone technology and imagery analysis is a plus.

• Conduct economic analyses of farming operations to identify areas for improvement and cost savings.
• Develop and implement precision agriculture strategies using data analytics and GIS tools.
• Evaluate the feasibility and return on investment of new agricultural technologies.
• Provide expert advice on crop management, soil health, irrigation, and pest control based on economic principles.
• Create comprehensive reports and presentations for clients detailing findings and recommendations.
• Stay abreast of the latest trends and research in agricultural economics and technology.
• Collaborate with internal teams to refine analytical models and software tools.
• Mentor junior team members on economic modeling and data interpretation.
• Foster strong relationships with clients through effective communication and consistent support.
• Ensure compliance with all relevant agricultural regulations and best practices.

• Master's or Ph.D. in Agricultural Economics, Economics, or a related quantitative field.
• Minimum of 5 years of experience in agricultural economics, with a strong focus on precision farming or farm management.
• Proven experience with data analysis software (e.g., R, Python, SPSS) and GIS software (e.g., ArcGIS, QGIS).
• In-depth understanding of farm operations, crop science, and sustainable agriculture.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with the ability to present complex data clearly.
• Demonstrated ability to work independently and manage multiple projects simultaneously in a remote environment.
• Experience in developing and delivering training programs is a plus.
• Familiarity with satellite imagery analysis and drone technology applications in agriculture.
• A passion for innovation and a commitment to advancing the agricultural sector.

• Develop and deploy predictive models for crop growth, disease detection, and yield forecasting using diverse data sources (e.g., satellite imagery, sensor data, weather data).
• Analyze large agricultural datasets to identify patterns, trends, and correlations related to soil health, water usage, and pest management.
• Design and implement data pipelines for collecting, cleaning, and processing agricultural data from various sources.
• Collaborate with agronomists, farmers, and software engineers to understand needs and develop data-driven solutions.
• Create data visualizations and reports to communicate insights and recommendations effectively to both technical and non-technical audiences.
• Evaluate the effectiveness of precision agriculture techniques and recommend improvements.
• Stay abreast of the latest advancements in data science, machine learning, and agricultural technology.
• Contribute to the design and implementation of new data collection strategies and IoT solutions for farms.
• Ensure data integrity and accuracy throughout the analysis process.

• Master's degree or Ph.D. in Data Science, Statistics, Agronomy, Agricultural Engineering, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a significant focus on agricultural applications or environmental science.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering), and time-series analysis.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Experience with geospatial data analysis and relevant tools (e.g., GIS software, remote sensing data processing).
• Familiarity with cloud platforms (AWS, Azure, GCP) and database technologies.
• Strong analytical and problem-solving skills, with the ability to translate complex data into practical solutions.
• Excellent communication and collaboration skills, essential for working within a remote team.
• Passion for sustainable agriculture and the application of technology to improve food production.