1,219 Etl Processes jobs in Kenya

• Lead and conduct advanced scientific research in a designated field.
• Design, develop, and execute complex experiments and research protocols.
• Analyze and interpret large datasets, drawing meaningful conclusions.
• Develop and refine research methodologies and theoretical frameworks.
• Collaborate with internal and external research partners to advance projects.
• Prepare and present research findings through publications, reports, and presentations.
• Stay current with scientific literature, emerging technologies, and industry trends.
• Mentor and guide junior researchers and laboratory staff.
• Contribute to grant writing and funding acquisition efforts.
• Ensure adherence to ethical standards and safety protocols in research.

• Ph.D. in Chemistry, Biology, Physics, Materials Science, Computer Science, or a related scientific discipline.
• Minimum of 6 years of post-doctoral research experience.
• Demonstrated track record of innovative research and peer-reviewed publications.
• Expertise in specific research areas relevant to the client's needs.
• Proficiency in advanced laboratory techniques or computational modeling and simulation tools.
• Strong analytical, critical thinking, and problem-solving skills.
• Excellent written and verbal communication skills, with experience presenting complex data.
• Proven ability to lead research projects and work effectively in a remote team environment.
• Experience with data analysis software (e.g., R, Python, MATLAB) is highly desirable.
• Strong understanding of research ethics and scientific integrity.

• Alupe Kenya
• Posted 4 hours ago
• Deadline: 21 September 2025
• Partner: CIFOR-ICRAF

CIFOR-ICRAF
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This role is an integral part of CIMMYT's dryland legumes (groundnut, chickpea & pigeon pea) and cereals (sorghum & millets) breeding programs. The person hired will provide administrative support to enable timely planning and execution of activities, projects and initiatives for these breeding programs.

Duties and responsibilities

• Management of phenotyping nurseries and trials.
• Work closely with CIMMYT scientists and NARS implementing partners to ensure timely land preparation, seed assembly and planting of trials/nurseries according to the experimental design.
• Ensure proper agronomic management of trials like application of fertilizer, timely irrigation, weed and pest control
• Ensure disease/striga screening trials are artificially inoculated according to laid down procedures
• Ensure seeds for checks are available in sufficient quantities and when necessary increased in a timely manner
• Ensure pure pathogen cultures and striga seed are maintained in a viable state and available for artificial inoculation when needed.
• Data Collection and Organization.
• Manage accurate and timely data collection at different stages of the trials in the field, nurseries using the relevant tools and software
• Ensure accuracy of data entry and consolidation in preparation for analysis by the Scientists
• Learn and operate Enterprise Breeding System (EBS) for routine operations, data upload, data curation and preliminary analysis; basic familiarity with Breeding Management System (BMS) may be helpful.
• Supervise casual Labor.
• Develop budgets, and monitor budget utilization.
• Other Responsibilities.
• Assist partners based on their needs in coordination with the supervisor
• Establish and maintain contact with collaborating /implementing organizations and partners
• Any other task assigned by the supervisor.

Requirements

• BSc or MSc in Crop protection, agronomy or related Agricultural Sciences with at least 3 years accumulated practical experience in field trialing and management.
• Knowledge in managing agricultural field activities or research projects in a dynamic and fast paced organization.
• Thorough knowledge of field trials management, and field identification of biotic stresses affecting dryland crops.
• Familiarity with application of pest and disease evaluation scales especially of dryland crops.
• Ability to provide supervision and training to field staff to manage research activities
• Basic supervisory skills and experience are a must.
• Ability to communicate orally day-to-day matters and to prepare brief but accurate reports or complete forms without assistance.
• Ability to analyze situations or problems and timely propose or evaluate possible resolution mechanisms.
• Competency to use the standard Windows-based software for word processing, spreadsheets, presentations, and email used at CIMMYT.
• The selected candidate must exhibit the following competencies: Problem-solving and decision-making, negotiation and conflict resolution, communication, and teamwork.

Education, knowledge and experience

• BSc or MSc in Crop protection, agronomy or related Agricultural Sciences with at least 3 years accumulated practical experience in field trialing and management.
• Knowledge in managing agricultural field activities or research projects in a dynamic and fast paced organization.
• Thorough knowledge of field trials management, and field identification of biotic stresses affecting dryland crops.
• Familiarity with application of pest and disease evaluation scales especially of dryland crops.
• Ability to provide supervision and training to field staff to manage research activities
• Basic supervisory skills and experience are a must.
• Ability to communicate orally day-to-day matters and to prepare brief but accurate reports or complete forms without assistance.
• Ability to analyze situations or problems and timely propose or evaluate possible resolution mechanisms.
• Competency to use the standard Windows-based software for word processing, spreadsheets, presentations, and email used at CIMMYT.
• The selected candidate must exhibit the following competencies: Problem-solving and decision-making, negotiation and conflict resolution, communication, and teamwork.

Terms and conditions

• This is a Locally Recruited Staff (LRS) position and on competitive remuneration in local currency, commensurate with skills and experience.
• The appointment will be for two (2) years, including a six-month probationary period, with the possibility of extension contingent on performance, continued relevance of the position and available resources.
• The duty station will be in Alupe, Kenya.

Learn more

• Assist in gathering and preprocessing large, complex datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and implement statistical models and machine learning algorithms under guidance.
• Contribute to the design and execution of data-driven experiments.
• Visualize data and analytical results using various tools and techniques.
• Collaborate with senior data scientists and engineers to refine models and interpret findings.
• Document methodologies, findings, and code clearly and concisely.
• Stay up-to-date with the latest research and advancements in data science and machine learning.
• Participate in team meetings and contribute ideas for new analytical approaches.
• Support the development of data pipelines and analytical workflows.

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong understanding of statistical principles and machine learning concepts.
• Proficiency in at least one programming language commonly used in data science, such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong communication skills, both written and verbal, with the ability to explain technical concepts to a non-technical audience.
• Eagerness to learn and adapt in a fast-paced, remote research environment.
• Previous internship or project experience in data science is a plus.
• Ability to work independently and manage time effectively in a remote setting.

• Lead and execute high-impact research projects in areas of chemical engineering and materials science.
• Conceptualize, design, and implement novel experiments to investigate complex phenomena.
• Develop new chemical synthesis routes, materials, and processes.
• Utilize advanced analytical techniques and instrumentation for characterization and testing.
• Analyze experimental data, interpret results, and draw meaningful conclusions.
• Publish research findings in peer-reviewed journals and present at scientific conferences.
• Mentor and guide junior research engineers and scientists.
• Collaborate with internal and external research partners.
• Identify and evaluate new research opportunities and technologies.
• Contribute to the strategic direction of the R&D department.

• Ph.D. in Chemical Engineering, Chemistry, Materials Science, or a closely related field.
• 10+ years of post-doctoral or industrial research experience with a strong track record of innovation.
• Demonstrated expertise in areas such as catalysis, polymer chemistry, nanotechnology, or process chemistry.
• Proven experience in experimental design, execution, and data analysis.
• Proficiency with advanced analytical and characterization techniques (e.g., spectroscopy, microscopy, chromatography).
• Excellent scientific writing and oral communication skills, with a history of impactful publications.
• Ability to think creatively and solve complex scientific problems.
• Strong leadership and mentoring capabilities.
• Experience working in a remote research environment is highly desirable.
• Self-motivated with the ability to work independently and manage multiple research projects.

• Develop and implement advanced statistical models and machine learning algorithms to solve complex scientific problems.
• Analyze large and diverse datasets to identify trends, patterns, and anomalies.
• Design and execute experiments, interpret results, and provide data-driven recommendations.
• Collaborate closely with research scientists, engineers, and product teams to understand project goals and data requirements.
• Communicate complex analytical findings and insights clearly and concisely to both technical and non-technical stakeholders through reports and presentations.
• Develop data visualizations to effectively communicate key findings and support decision-making.
• Stay abreast of the latest advancements in data science, machine learning, and relevant scientific fields.
• Contribute to the development of data infrastructure and tooling to support research initiatives.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure the integrity, accuracy, and reproducibility of data analysis and modeling efforts.

• PhD or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, Engineering, or a related discipline.
• Minimum of 6 years of hands-on experience in data science, with a strong focus on research and development applications.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Expertise in statistical modeling, machine learning techniques (supervised and unsupervised), and experimental design.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Experience working with large datasets and distributed computing frameworks (e.g., Spark) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) is desirable.
• Ability to work effectively in a hybrid team environment, balancing independent work with collaborative efforts.

• Conduct fundamental research in machine learning, focusing on algorithm design and optimization.
• Develop and implement novel deep learning models and optimization techniques.
• Analyze and interpret experimental results, identifying areas for improvement.
• Benchmark and evaluate the performance of AI models on large-scale datasets.
• Collaborate with a remote team of researchers and engineers to advance AI capabilities.
• Optimize ML models for deployment on various platforms, considering computational constraints.
• Stay abreast of the latest research and trends in AI and machine learning.
• Contribute to technical documentation, research papers, and conference presentations.
• Prototype and test new AI solutions, assessing their feasibility and impact.
• Participate in code reviews and knowledge sharing sessions within the research team.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Strong theoretical foundation in machine learning, statistical modeling, and optimization.
• Proven experience in developing and implementing deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with large-scale data processing and distributed computing environments.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication abilities for technical documentation and presentations.
• Ability to work independently and effectively in a remote team environment.
• Demonstrated experience with published research or contributions to open-source AI projects is highly desirable.
• Familiarity with cloud platforms (AWS, GCP, Azure) for ML workloads.