2,129 Academic Research jobs in Kenya

• Ph.D. or M.D. in a relevant scientific discipline (e.g., Pharmacology, Biology, Medicine).
• Minimum of 8 years of experience in clinical research within the pharmaceutical or biotechnology industry.
• Extensive experience in designing, conducting, and analyzing Phase I-IV clinical trials.
• In-depth knowledge of drug development processes, regulatory requirements, and GCP.
• Strong statistical analysis skills and experience with statistical software (e.g., SAS, R).
• Excellent written and verbal communication skills, with experience in scientific writing and presentation.
• Proven ability to manage multiple projects simultaneously and work effectively in a remote, collaborative environment.
• Experience with data management systems and electronic data capture (EDC) platforms.

• Design and implement bioinformatics pipelines for the analysis of large-scale genomic and transcriptomic data (e.g., WGS, WES, RNA-Seq).
• Develop and apply statistical and machine learning methods to identify genetic variants, predict gene function, and understand biological pathways.
• Collaborate with experimental biologists and clinicians to interpret genomic findings and translate them into actionable insights.
• Develop custom software tools and scripts to facilitate data analysis and visualization.
• Manage and curate biological databases and ontologies.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
• Present research findings at scientific conferences and publish in peer-reviewed journals.
• Mentor junior scientists and contribute to the scientific growth of the research team.
• Ensure the integrity, security, and reproducibility of data analysis workflows.
• Contribute to grant writing and funding proposals to support research initiatives.

• Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
• Minimum of 7 years of postdoctoral or industry experience in bioinformatics, with a strong focus on genomics data analysis.
• Expert proficiency in programming languages such as Python and R, and experience with bioinformatics libraries.
• Demonstrated experience with high-performance computing environments and cloud platforms.
• In-depth knowledge of statistical genetics, population genetics, and molecular biology.
• Experience with common bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent written and verbal communication skills, with the ability to clearly present complex scientific concepts.
• Ability to work independently and collaboratively in a remote research environment.
• Must be legally authorized to work in Kenya.

• Assist in collecting and cleaning data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and implementation of statistical models and machine learning algorithms.
• Create visualizations and reports to communicate findings to the team.
• Collaborate with team members on data-related projects and tasks.
• Learn and apply various data science tools and techniques.
• Document data processes and analytical methodologies.
• Participate in team meetings and contribute ideas for data analysis.
• Assist in testing and validating data models and algorithms.
• Gain exposure to different data platforms and technologies.
• Develop basic proficiency in SQL, Python, or R for data manipulation and analysis.
• Contribute to maintaining data quality and integrity.

• Collect, clean, and integrate diverse agricultural datasets from various sources, including sensors, satellite imagery, farm records, and meteorological data.
• Develop and implement statistical models and machine learning algorithms to analyze agricultural data, predict crop yields, disease outbreaks, and pest infestations.
• Identify patterns and trends in agricultural production, resource utilization (water, fertilizers), and environmental impacts.
• Create visualizations and dashboards to communicate complex data insights to technical and non-technical audiences.
• Collaborate with agronomists, researchers, and farmers to understand their data needs and translate them into analytical solutions.
• Design and conduct experiments to test hypotheses and validate analytical models.
• Develop recommendations for optimizing farming practices, such as irrigation scheduling, fertilizer application, and pest control.
• Stay current with the latest advancements in data science, machine learning, and agricultural technology.
• Contribute to the development of data-driven tools and platforms for precision agriculture.
• Ensure data quality, integrity, and security throughout the analytical process.
• Document methodologies, findings, and recommendations clearly and concisely.

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Agricultural Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis and scientific modeling, with a focus on agriculture or a related industry.
• Proficiency in programming languages commonly used in data science, such as Python or R, and their relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow).
• Experience with database management (SQL, NoSQL) and data warehousing concepts.
• Familiarity with geospatial data analysis and relevant tools (e.g., GIS software, satellite imagery processing).
• Strong understanding of statistical methods, experimental design, and machine learning techniques.
• Excellent problem-solving skills and the ability to translate complex business problems into analytical tasks.
• Effective communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Ability to work independently and collaboratively in a remote team environment.
• Knowledge of agricultural practices, crop science, and soil science is highly advantageous.

• Leading and conceptualizing pioneering research initiatives in photonics and optics.
• Designing, simulating, and experimentally validating novel photonic devices, systems, and phenomena.
• Developing advanced optical components, lasers, detectors, and integrated photonic circuits.
• Mentoring and guiding a team of senior and junior research scientists and engineers.
• Collaborating closely with cross-functional teams to translate research breakthroughs into practical applications and commercial products.
• Publishing high-impact research findings in leading scientific journals and presenting at international conferences.
• Securing research funding through grant proposals and industry partnerships.
• Staying at the forefront of advancements in photonics, optics, quantum science, and related fields.
• Managing research project timelines, budgets, and resources effectively.
• Contributing to the development of intellectual property and patent strategies.

Summary
The Senior Research Analyst is responsible for internal project management and report writing. This role requires the ability to effectively communicate with stakeholders, manage multiple projects and analyze complex data sets, synthesize information, and present findings in a clear and concise manner. To be successful in this role, you must have strong communication skills, excellent analytical skills, attention to detail, and the ability to multitask.

Responsibilities
Participate in client meetings to ensure comprehension of client needs.

Support in writing RFPs, questionnaire design, writing research reports, strategic recommendations and client presentation.

Create statistical analysis and reporting plans, conducting analysis of results.

Full cycle project management in collaboration with the operations team to ensure quality control and adherence to project timelines, such as validating the questionnaire's test link, interviewer training, coordinating field implementation, follow-up and validation of the pre-test, daily project field monitoring, project follow-up and coordinating end of fieldwork stages.

Qualifications
Bachelor's or Master's in Sociology, Psychology, Business or related field

Minimum 4 years' work experience in client facing/customer service roles

Minimum with 2 years' Market Research experience as a Market Research Analyst, preferably on supplier side research.

Skills
Strong Project Management skill: Adept managing multiple projects and timelines at once.

Strong Client Management skill: Adept at nurturing client relationships, understanding client needs and helping clients in solving their business problems with research.

Excellent communication and presentation skills: Ability to convey complex data and insights in a clear and compelling manner.

Excellent analytical skills: Ability to examine and interpret data with keen attention to detail; identify trends, patterns, and insights, and draw meaningful conclusions that is useful for decision-making.