2,402 Remote Graduate Research Assistant Data Science jobs in Kenya

• Assist in conducting comprehensive literature reviews and synthesizing existing research.
• Support data collection efforts, which may include surveys, interviews, or secondary data analysis.
• Perform preliminary data analysis using statistical software and other research tools.
• Contribute to the preparation of research reports, presentations, and publications.
• Help in organizing and maintaining research documentation and databases.
• Participate in virtual team meetings and brainstorming sessions.
• Provide administrative support to the research team as needed.
• Stay updated on relevant academic and industry developments in the field.

• Recent graduate with a Bachelor's or Master's degree in (Relevant Field of Study, e.g., Biology, Economics, Sociology, Engineering).
• Strong academic record with a demonstrated interest in research.
• Excellent analytical and critical thinking skills.
• Proficiency in research methodologies and data analysis techniques.
• Experience with statistical software (e.g., R, SPSS, Stata) is a plus.
• Outstanding written and verbal communication skills in English.
• Ability to work independently, manage tasks, and meet deadlines in a remote environment.
• Proactive and eager to learn new skills and concepts.
• Familiarity with academic research databases and search engines.

• Conduct thorough literature reviews on specified research topics.
• Assist in designing and executing research experiments (using virtual tools where applicable).
• Collect, organize, and analyze research data using statistical software.
• Document research methodologies, findings, and results accurately.
• Contribute to the writing of research papers, reports, and presentations.
• Collaborate with remote research teams and attend virtual project meetings.
• Stay updated on the latest advancements and trends in relevant emerging technologies.
• Assist in preparing research proposals and grant applications.
• Maintain research integrity and ethical standards throughout the project.

• Currently pursuing or recently completed a Master's or Ph.D. in a relevant STEM field.
• Strong academic record with demonstrated interest in emerging technologies.
• Proficiency in research methodologies and data analysis techniques.
• Familiarity with relevant software tools (e.g., Python, R, MATLAB) is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently, manage time effectively, and meet deadlines remotely.
• Strong critical thinking and problem-solving abilities.
• Enthusiasm for research and a proactive learning attitude.

• Assist in the design and execution of research experiments in biotechnology.
• Collect, organize, and analyze experimental data using statistical software and bioinformatics tools.
• Conduct comprehensive literature searches and summarize relevant scientific findings.
• Contribute to the interpretation of research results and the development of new hypotheses.
• Prepare research reports, presentations, and contribute to manuscript preparation for scientific publications.
• Maintain detailed and accurate laboratory notebooks and research records.
• Collaborate with team members on research projects, sharing findings and insights.
• Stay updated with the latest advancements and research trends in biotechnology.
• Assist in the preparation of grant proposals and research protocols.
• Perform other research-related duties as assigned by the principal investigator or supervisor.

• Currently pursuing a Master's or Ph.D. degree in Biotechnology, Molecular Biology, Genetics, Bioinformatics, or a related life science field.
• Strong foundational knowledge in core biotechnology principles and techniques.
• Experience with laboratory research methodologies is required.
• Proficiency in data analysis and statistical software (e.g., R, SPSS, GraphPad Prism).
• Familiarity with bioinformatics tools and databases is highly desirable.
• Excellent scientific writing and verbal communication skills.
• Strong organizational skills and meticulous attention to detail.
• Ability to work independently, manage time effectively, and meet deadlines in a remote environment.
• Eagerness to learn new techniques and technologies.
• Demonstrated ability to collaborate effectively in a team setting.
• A genuine passion for scientific discovery and innovation.

• Assist in the design and execution of data-driven research projects.
• Collect, clean, and pre-process large datasets from various sources.
• Perform statistical analysis and develop machine learning models.
• Conduct literature reviews and synthesize research findings.
• Collaborate with researchers and data scientists on data visualization and reporting.
• Implement and test algorithms and software prototypes.
• Contribute to the documentation of research methodologies and results.
• Participate in virtual team meetings and present findings.
• Identify potential research avenues and hypotheses.
• Learn and apply new data science techniques and tools.

• Currently pursuing a Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong foundation in statistical analysis and machine learning algorithms.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with data manipulation and visualization tools.
• Excellent analytical and problem-solving skills.
• Ability to work independently and manage time effectively in a remote setting.
• Strong written and verbal communication skills.
• Eagerness to learn and adapt to new technologies and research challenges.
• Prior research experience or relevant project work is a plus.
• Access to a reliable internet connection and a suitable remote workspace.

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.

• Conduct comprehensive literature reviews on emerging AI topics and techniques.
• Assist in designing and implementing machine learning experiments.
• Collect, preprocess, and manage large datasets for AI model training.
• Implement and test algorithms and models using programming languages like Python.
• Analyze experimental results and contribute to the interpretation of findings.
• Document research methodologies, code, and findings meticulously.
• Collaborate with research scientists and engineers on various AI projects.
• Assist in the preparation of research papers, presentations, and reports.
• Stay abreast of the latest advancements in AI, machine learning, and deep learning.
• Help identify potential research avenues and new project ideas.
• Contribute to the development and refinement of AI algorithms.
• Ensure research data is organized, version-controlled, and securely stored.
• Participate in regular team meetings and provide updates on research progress.
• Troubleshoot issues related to data, code, and experimental setups.
• Contribute to building internal AI knowledge repositories.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field.
• Strong academic record with a focus on AI/ML concepts.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of fundamental AI and machine learning algorithms.
• Experience with data manipulation and analysis tools.
• Familiarity with version control systems like Git.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong research and writing abilities.
• Ability to work independently and manage time effectively in a remote setting.
• Excellent communication and collaboration skills.
• A genuine passion for artificial intelligence and a desire to contribute to research.
• Previous research experience or a strong portfolio of AI projects is a significant advantage.

• Lead the design and execution of complex genomic data analysis pipelines, including next-generation sequencing (NGS) data.
• Develop and implement advanced statistical models and machine learning algorithms to interpret biological data and identify significant patterns.
• Collaborate closely with research scientists, bioinformaticians, and other data analysts to define research questions and analytical strategies.
• Manage and curate large-scale genomic datasets, ensuring data integrity, accuracy, and accessibility.
• Visualize complex data in a clear and comprehensible manner for scientific publications, presentations, and internal reports.
• Stay current with the latest advancements in bioinformatics tools, algorithms, and statistical methodologies.
• Mentor and guide junior data analysts and researchers in data analysis techniques.
• Contribute to the development of new research methodologies and data analysis platforms.
• Ensure reproducibility of analysis by maintaining well-documented code and workflows.
• Present findings to internal teams and external collaborators at scientific conferences.