43 Research Support jobs in Kenya
Remote Scientific Research Assistant
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Key Responsibilities:
- Conduct comprehensive literature reviews and synthesize research findings.
- Collect, organize, and analyze scientific data using statistical software.
- Assist in the design and implementation of research studies.
- Contribute to the writing of research papers, reports, and grant proposals.
- Manage and maintain research databases and documentation.
- Prepare presentations and summaries of research progress.
- Collaborate with senior researchers on project tasks and experiments.
- Ensure accuracy and integrity in all research activities.
Qualifications:
- Bachelor's or Master's degree in a scientific discipline (e.g., Biology, Chemistry, Environmental Science, Statistics).
- Demonstrated experience in scientific research or data analysis.
- Proficiency in statistical analysis software (e.g., R, SPSS, Python).
- Strong literature search and critical evaluation skills.
- Excellent written and verbal communication abilities.
- Detail-oriented with strong organizational and time management skills.
- Ability to work independently and collaboratively in a hybrid environment.
- Knowledge of research ethics and data management principles.
Lead Scientific Research Scientist
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Senior Scientific Research Analyst
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Key Responsibilities:
- Design and execute scientific research projects, including hypothesis formulation and experimental design.
- Collect, clean, and process large scientific datasets using various analytical tools and methodologies.
- Perform statistical analysis, modeling, and interpretation of research findings.
- Develop and maintain databases and analytical tools.
- Prepare detailed research reports, scientific papers, and presentations for internal and external stakeholders.
- Collaborate with research scientists, engineers, and project managers on complex scientific initiatives.
- Stay current with scientific literature, methodologies, and technological advancements in relevant fields.
- Identify trends and patterns in data to inform strategic research decisions.
- Contribute to the grant writing and proposal development process.
- Mentor junior research staff and provide technical guidance.
- Ph.D. or Master's degree in a scientific discipline (e.g., Biology, Chemistry, Physics, Statistics, Bioinformatics) or a related field.
- Minimum of 5 years of experience in scientific research and data analysis.
- Proven expertise in statistical analysis, experimental design, and scientific modeling.
- Proficiency with scientific software and programming languages (e.g., R, Python, MATLAB, SPSS).
- Strong understanding of data visualization techniques.
- Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
- Demonstrated ability to work independently and manage research projects in a remote environment.
- Strong critical thinking and problem-solving abilities.
- Experience with scientific literature review and manuscript preparation.
Senior Scientific Research Manager
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Remote Scientific Research Assistant - Bioinformatics
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Key Responsibilities:
- Perform data analysis on large-scale biological datasets (genomics, proteomics, transcriptomics).
- Utilize bioinformatics tools, databases, and software for data processing and interpretation.
- Develop and implement custom scripts and pipelines for data analysis.
- Collaborate with research teams to design experiments and define analytical approaches.
- Interpret research findings and contribute to scientific publications and presentations.
- Maintain detailed records of experimental procedures, data, and analysis results.
- Stay updated on the latest advancements in bioinformatics and computational biology.
- Troubleshoot and optimize bioinformatics workflows.
- Assist in the development of data visualization tools.
- Contribute to research grant proposals and project planning.
Qualifications:
- Bachelor's or Master's degree in Bioinformatics, Computer Science, Biology, or a related field.
- Proven experience as a Bioinformatics Research Assistant or similar role.
- Strong programming skills in Python, R, or other relevant languages.
- Experience with bioinformatics databases (e.g., NCBI, Ensembl) and analysis tools.
- Solid understanding of molecular biology, genetics, and statistical methods.
- Excellent analytical, problem-solving, and data interpretation skills.
- Strong scientific writing and communication abilities.
- Ability to work independently and manage research projects effectively from a remote location.
- Familiarity with the research ecosystem in Bungoma, Bungoma, KE is beneficial, but the role is fully remote.
Remote Lead Scientific Research Analyst
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Senior Scientific Research Scientist (Remote)
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Key Responsibilities:
- Design and execute complex scientific research experiments.
- Develop research hypotheses and conduct rigorous data analysis.
- Interpret research findings and draw meaningful conclusions.
- Publish research results in peer-reviewed scientific journals.
- Write and submit grant proposals to secure research funding.
- Present research findings at national and international conferences.
- Collaborate with interdisciplinary research teams and external partners.
- Mentor and supervise junior researchers and technical staff.
- Stay current with the latest scientific literature and advancements in the field.
- Contribute to the development of research strategies and program planning.
- Ph.D. in a relevant scientific field (e.g., Biology, Chemistry, Physics, Engineering).
- Minimum of 5 years of post-doctoral or equivalent research experience.
- Demonstrated expertise in a specific area of scientific research.
- Strong publication record in reputable scientific journals.
- Proven experience in grant writing and securing research funding.
- Excellent analytical, statistical, and problem-solving skills.
- Proficiency in relevant research methodologies and laboratory techniques.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote setting.
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Senior Data Scientist - Scientific Research
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Lead Data Scientist - Scientific Research
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Key Responsibilities:
- Lead the design and implementation of complex statistical models and machine learning algorithms for scientific research.
- Analyze large and diverse datasets to identify patterns, trends, and correlations relevant to research objectives.
- Develop predictive models and data-driven hypotheses to advance scientific understanding.
- Collaborate closely with researchers across various disciplines to define data analysis strategies and interpret findings.
- Mentor and guide junior data scientists and research analysts, fostering their technical development.
- Develop and maintain data pipelines, ensuring data quality, integrity, and accessibility.
- Create compelling data visualizations and reports to communicate complex results to both technical and non-technical audiences.
- Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
- Evaluate and implement new tools and technologies to enhance data analysis capabilities.
- Contribute to the development of research proposals and grant applications.
- Ensure compliance with data privacy regulations and ethical research practices.
- Manage data science projects from conception to completion, ensuring timely delivery of insights.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Physics, Biology, or a related scientific discipline.
- Minimum of 7 years of experience in data science, with a significant focus on scientific research or R&D.
- Proven expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and R.
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Familiarity with big data technologies (e.g., Spark, Hadoop) and database management systems (SQL, NoSQL).
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
- Experience in managing data science projects and mentoring junior team members.
- Knowledge of specific scientific domains relevant to our client's research areas is a strong asset.
We offer a competitive salary, excellent benefits, and a stimulating research environment. If you are a motivated and experienced data scientist eager to make a tangible impact in scientific discovery, we encourage you to apply.
Senior Data Scientist - Scientific Research
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Responsibilities:
- Design and implement data science methodologies to address complex research questions.
- Collect, clean, preprocess, and analyze large, complex scientific datasets.
- Develop, train, and validate machine learning models and predictive algorithms.
- Identify patterns, trends, and insights within data to support research hypotheses.
- Collaborate with researchers to define data requirements and analytical approaches.
- Visualize data and model results effectively for clear communication.
- Contribute to the interpretation of experimental data and findings.
- Stay abreast of the latest advancements in data science, machine learning, and scientific computing.
- Develop reusable code and analytical frameworks.
- Present findings and methodologies to research teams and stakeholders.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist, with a focus on scientific or research applications.
- Expertise in statistical modeling, machine learning, and deep learning techniques.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn).
- Experience with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
- Strong understanding of database systems (SQL, NoSQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities, with the capacity to explain complex concepts clearly.
- Proven ability to work independently and collaboratively in a remote research environment.