What Jobs are available for Research Institutions in Kenya?
Showing 2172 Research Institutions jobs in Kenya
Lead Scientific Research Scientist
Posted 9 days ago
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Principal Data Scientist - Scientific Research
Posted 25 days ago
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Remote Scientific Research Scientist
Posted 1 day ago
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Key Responsibilities:
- Design, conduct, and optimize scientific experiments and research studies.
- Collect, analyze, and interpret complex scientific data using appropriate methodologies.
- Develop and validate novel research protocols and techniques.
- Prepare detailed research reports, manuscripts for publication, and presentations.
- Stay current with scientific literature, emerging technologies, and best practices in the field.
- Collaborate with internal and external research teams and stakeholders.
- Contribute to the development of intellectual property (patents, trade secrets).
- Troubleshoot experimental challenges and propose solutions.
- Maintain accurate and organized research records.
- Ph.D. or Master's degree in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Engineering).
- Demonstrated experience in scientific research and development.
- Expertise in experimental design, data analysis, and scientific interpretation.
- Proficiency with scientific software and laboratory equipment relevant to the field.
- Strong publication record or significant contributions to research projects.
- Excellent analytical, critical thinking, and problem-solving skills.
- Effective written and verbal communication skills for scientific reporting and collaboration.
- Ability to work independently and manage research projects remotely.
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Lead Scientific Research Scientist (Remote)
Posted 19 days ago
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Remote Principal Data Scientist - Scientific Research
Posted 23 days ago
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Responsibilities:
- Lead the design and implementation of complex data science projects to address critical research questions.
- Develop and apply advanced statistical methods, machine learning algorithms, and predictive models to large, complex scientific datasets.
- Extract, clean, transform, and analyze diverse data sources (e.g., experimental data, simulations, observational data).
- Visualize complex data and communicate findings clearly and effectively to researchers, stakeholders, and collaborators.
- Mentor and guide junior data scientists and research staff in data analysis methodologies.
- Collaborate with principal investigators and research teams to define research objectives and data requirements.
- Stay abreast of the latest advancements in data science, machine learning, artificial intelligence, and their applications in scientific research.
- Develop and maintain robust data pipelines and computational workflows.
- Evaluate and implement new tools and technologies for data analysis and modeling.
- Contribute to grant proposals and research publications by providing data science expertise.
- Ensure the reproducibility and validity of analytical results.
- Identify opportunities to leverage data for novel discoveries and advancements.
- Manage data governance, privacy, and ethical considerations in research data analysis.
- Present research findings at scientific conferences and workshops.
- Troubleshoot and resolve complex analytical challenges.
- Ph.D. in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 10 years of experience as a Data Scientist, with a significant focus on scientific research applications.
- Extensive expertise in statistical modeling, machine learning techniques (e.g., deep learning, Bayesian methods, reinforcement learning), and experimental design.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
- Excellent data visualization skills and experience with tools like Matplotlib, Seaborn, or Tableau.
- Demonstrated ability to lead complex analytical projects and mentor junior team members.
- Exceptional problem-solving, critical-thinking, and analytical skills.
- Outstanding communication and presentation skills, capable of explaining complex technical concepts to both technical and non-technical audiences remotely.
- Ability to work independently, manage priorities, and drive projects to completion in a remote setting.
- Experience in a specific scientific domain (e.g., genomics, astrophysics, bioinformatics, computational chemistry) is highly desirable.
- Strong understanding of data management best practices and database technologies.
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Remote Lead Data Scientist - Scientific Research
Posted 15 days ago
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Key Responsibilities:
- Lead the design and implementation of sophisticated statistical models and machine learning algorithms for scientific data analysis.
- Develop and manage data pipelines for ingesting, cleaning, transforming, and analyzing large-scale scientific datasets from various sources (e.g., experimental, observational, genomic).
- Collaborate closely with domain experts (biologists, chemists, physicists, etc.) to understand research questions and translate them into data science problems.
- Mentor and guide a team of data scientists, providing technical leadership and fostering professional development.
- Design and conduct rigorous A/B testing and validation studies to assess the performance of models and hypotheses.
- Develop reproducible research workflows and ensure best practices in coding, version control, and documentation.
- Communicate complex analytical findings and insights effectively to both technical and non-technical audiences through clear visualizations and presentations.
- Identify opportunities to leverage new data science techniques and technologies to solve challenging scientific problems.
- Contribute to grant proposals and publications by providing data analysis expertise and insights.
- Ensure data privacy, security, and ethical considerations are maintained throughout all data science projects.
- Stay current with the latest advancements in data science, machine learning, artificial intelligence, and their applications in scientific research.
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- A minimum of 7 years of progressive experience in data science, with a significant portion focused on scientific or research applications.
- Demonstrated experience in leading data science projects and mentoring junior team members.
- Expertise in programming languages such as Python or R, and proficiency with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
- Excellent data visualization skills and experience with tools like Matplotlib, Seaborn, or Tableau.
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Superb communication and collaboration skills, with the ability to work effectively in a distributed, remote team.
- Experience with bioinformatics, cheminformatics, or other specialized scientific data analysis is a plus.
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Principal Research Scientist (Scientific Research & Development)
Posted 17 days ago
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Principal Scientific Research Scientist (Biotechnology)
Posted 8 days ago
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Responsibilities:
- Lead and direct complex research projects in biotechnology, focusing on areas such as genetic engineering, molecular diagnostics, or bioprocessing.
- Develop innovative research strategies and experimental designs to address critical scientific questions.
- Oversee the execution of experiments, ensuring data integrity and reproducibility.
- Analyze and interpret large and complex datasets, utilizing advanced statistical and bioinformatics tools.
- Mentor and guide a team of research scientists and technicians, fostering their professional development.
- Prepare high-quality scientific manuscripts for publication in peer-reviewed journals.
- Present research findings at national and international conferences.
- Contribute to the development of intellectual property, including patent applications.
- Collaborate with internal and external partners to advance research programs.
- Stay current with the latest advancements in biotechnology and related fields.
- Ph.D. in Molecular Biology, Genetics, Biochemistry, Bioengineering, or a closely related field.
- Minimum of 10 years of postdoctoral research experience in a relevant scientific domain.
- Demonstrated success in leading independent research programs and securing funding.
- Extensive experience with molecular cloning, gene editing techniques (e.g., CRISPR), protein expression and purification, or other relevant biotechnological methods.
- Proficiency in bioinformatics tools and statistical analysis software.
- Exceptional publication record in reputable scientific journals.
- Strong leadership, mentorship, and project management skills.
- Excellent written and verbal communication abilities, essential for remote collaboration.
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Senior Scientific Data Scientist
Posted 21 days ago
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Principal Scientific Research Fellow
Posted 8 days ago
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Responsibilities:
- Lead and direct high-impact scientific research projects.
- Develop and implement innovative research strategies.
- Secure research funding through grant applications and partnerships.
- Mentor and guide junior researchers and post-doctoral fellows.
- Interpret complex scientific data and draw significant conclusions.
- Publish research findings in leading peer-reviewed journals.
- Present research at national and international scientific conferences.
- Foster collaborations with academic, industry, and government entities.
- Contribute to the strategic direction of the research organization.
- Ph.D. in a relevant scientific field (e.g., Biology, Chemistry, Physics, Engineering).
- 12+ years of post-doctoral research experience.
- Proven track record of leading independent research programs.
- Extensive publication record in high-impact journals.
- Demonstrated success in obtaining research grants and funding.
- Exceptional scientific leadership and mentoring skills.
- Expertise in experimental design and advanced analytical techniques.
- Strong collaboration and communication abilities.
- Ability to work autonomously and drive research initiatives remotely.
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