6,697 Scientist jobs in Kenya
Principal Research Scientist (Scientific Research & Development)
Posted 12 days ago
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Lead Scientific Research Scientist
Posted 3 days ago
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Principal Scientific Research Scientist
Posted 20 days ago
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Lead Scientific Research Scientist (Remote)
Posted 14 days ago
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Principal Scientific Research Scientist (Biotechnology)
Posted 2 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.
Principal Data Scientist - Scientific Research
Posted 20 days ago
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Lead Data Scientist - Scientific Research
Posted 20 days ago
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Senior Scientific Research Manager (Remote)
Posted 9 days ago
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Responsibilities:
- Lead and manage multiple scientific research projects in environmental science.
- Develop strategic research plans and roadmaps.
- Supervise and mentor a team of remote research scientists and technicians.
- Oversee experimental design, data collection, and analysis.
- Write and submit grant proposals to secure research funding.
- Foster collaborations with external research institutions and industry partners.
- Ensure scientific integrity and adherence to research ethics.
- Disseminate research findings through publications, presentations, and reports.
- Manage research budgets and resources effectively.
- Stay abreast of advancements in environmental science and research methodologies.
- Ph.D. in Environmental Science, Ecology, Climate Science, or a related field.
- Minimum of 8 years of research experience, with at least 3 years in a leadership or management role.
- Proven track record in securing research grants and managing large-scale research projects.
- Expertise in scientific research methodologies, data analysis, and interpretation.
- Strong leadership, team-building, and interpersonal skills.
- Excellent written and verbal communication skills, including grant writing and presentation experience.
- Proficiency in scientific software and data analysis tools.
- Demonstrated ability to work independently and manage diverse research portfolios remotely.
- Experience in publishing research in high-impact journals.
- A passion for environmental sustainability and scientific innovation.
Remote Lead Data Scientist - Scientific Research
Posted 10 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.
Remote Principal Data Scientist - Scientific Research
Posted 18 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.