727 Graduate Research Assistant Remote jobs in Kenya
Junior Research Assistant - Remote Scientific Data Analyst
Posted 20 days ago
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Key Responsibilities:
- Assist in the collection and organization of scientific data from various sources.
- Perform data cleaning, validation, and preprocessing tasks to ensure data accuracy and integrity.
- Conduct basic statistical analysis under the guidance of senior researchers.
- Generate reports and visualizations of research findings using appropriate software.
- Maintain detailed records of research activities, data sources, and methodologies.
- Support literature reviews and information gathering for research projects.
- Collaborate with team members through virtual meetings and shared digital platforms.
- Adhere to research protocols, ethical guidelines, and data security standards.
- Contribute to the preparation of research manuscripts and presentations.
- Learn and apply new research methodologies and analytical techniques as required.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in a scientific field such as Biology, Chemistry, Physics, Environmental Science, or a related discipline.
- Strong understanding of scientific research methodologies and data analysis principles.
- Proficiency in data analysis software (e.g., Excel, SPSS, R, Python for data analysis) is highly desirable.
- Excellent attention to detail and accuracy in data handling.
- Strong organizational and time management skills, essential for managing remote tasks.
- Good written and verbal communication skills for effective remote collaboration.
- Ability to work independently and take initiative in a virtual environment.
- A stable internet connection and a suitable remote workspace are required.
- Eagerness to learn and adapt to new research challenges.
- Previous research experience or academic projects involving data analysis is a plus.
This fully remote internship offers valuable hands-on research experience, mentorship from leading scientists, and the opportunity to contribute to significant scientific advancements. If you are a motivated student or recent graduate passionate about scientific research and data analysis, we encourage you to apply.
Principal Scientific Data Analyst
Posted 20 days ago
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Lead Scientific Data Analyst - Genomics
Posted 5 days ago
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Key Responsibilities:
- 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.
Qualifications include a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field. A minimum of 6 years of experience in analyzing large-scale biological datasets, with a significant focus on genomics, is essential. Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and libraries (e.g., Bioconductor, GATK, Samtools) are required. Demonstrated experience with statistical modeling, machine learning, and data visualization techniques is critical. Excellent understanding of genomics principles, molecular biology, and relevant experimental techniques is a must. Strong problem-solving abilities and the capacity to work independently in a remote, fast-paced research environment are necessary. Experience with cloud computing platforms (AWS, GCP, Azure) for data analysis is a significant advantage. If you are passionate about leveraging data to unlock the secrets of the genome and are seeking an impactful remote role, we invite you to apply.
Remote Scientific Data Analyst
Posted 15 days ago
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Job Description
Responsibilities:
- Collect, clean, and pre-process large scientific datasets from various experimental sources.
- Perform statistical analysis on research data to identify trends, patterns, and significant findings.
- Develop and implement data visualization techniques to effectively communicate research results.
- Collaborate with researchers to define data analysis requirements and methodologies.
- Interpret complex scientific data and provide actionable insights to research teams.
- Design and execute experiments for data validation and quality control.
- Utilize statistical software and programming languages (e.g., R, Python, SPSS) for data manipulation and analysis.
- Contribute to the writing of scientific reports, publications, and presentations.
- Maintain accurate and organized documentation of data analysis processes and results.
- Stay updated with the latest advancements in data analysis techniques and relevant scientific fields.
- Contribute to the development of predictive models and analytical frameworks.
- Ensure data integrity and adherence to research ethics and protocols.
- Master's or PhD in a quantitative field such as Statistics, Mathematics, Physics, Biology, Computer Science, or a related scientific discipline.
- Proven experience in analyzing complex scientific datasets.
- Strong proficiency in statistical analysis methods and software (e.g., R, Python with libraries like Pandas, NumPy, SciPy, SPSS, SAS).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with database management and SQL.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to work independently and manage time effectively in a remote setting.
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with scientific research methodologies.
- A proactive approach to data challenges and a commitment to scientific rigor.
Senior Scientific Data Analyst (Remote)
Posted 20 days ago
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Remote Senior Scientific Data Analyst - Genomics
Posted 20 days ago
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Job Description
Responsibilities:
- Perform in-depth analysis of large genomic datasets, including next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-seq).
- Develop, implement, and validate bioinformatics pipelines for data processing, variant calling, and functional annotation.
- Apply statistical methods and machine learning techniques to identify patterns, biomarkers, and genetic associations.
- Collaborate closely with biologists, geneticists, and other researchers to design experiments and interpret results.
- Visualize complex data to effectively communicate findings to both technical and non-technical audiences.
- Contribute to the development of new analytical methodologies and computational tools.
- Maintain comprehensive documentation of analytical workflows, code, and results.
- Stay abreast of the latest advancements in genomics, bioinformatics, and computational biology.
- Mentor junior data analysts and contribute to team knowledge sharing.
- Ensure data integrity and reproducibility of analyses.
- Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Statistics, Genetics, or a related quantitative field.
- 5+ years of hands-on experience in analyzing genomic data using computational tools and programming languages (e.g., Python, R, Perl).
- Proficiency with common bioinformatics software and databases (e.g., GATK, ANNOVAR, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical principles and machine learning algorithms relevant to biological data.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
- Excellent problem-solving skills and the ability to tackle complex analytical challenges.
- Strong written and verbal communication skills for effective collaboration in a remote team.
- Proven ability to work independently and manage multiple projects simultaneously.
- Experience in drug discovery, clinical genomics, or population genetics is highly desirable.
- Demonstrated ability to present complex scientific information clearly and concisely.
- A strong track record of contributing to scientific publications or presentations.
- This fully remote role offers the opportunity to significantly impact biological research from your home environment. You will be part of a collaborative and intellectually stimulating team, working on projects that have the potential to advance human health. Our client is committed to fostering a supportive remote work culture that encourages innovation and scientific excellence. The advanced analytical tasks and the collaborative nature of the work ensure continuous learning and professional growth. Your expertise in genomics and data analysis will be highly valued and contribute directly to the company's R&D objectives. We are looking for passionate individuals who are driven by scientific curiosity and possess the technical skills to unravel the complexities of the genome.
Lead Scientific Researcher - Remote Data Analysis
Posted 20 days ago
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Principal Scientific Researcher
Posted 20 days ago
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Primary responsibilities include: formulating novel research hypotheses and designing rigorous experimental protocols; leading and executing complex research projects from initiation to conclusion; analyzing and interpreting large datasets using advanced statistical methods and computational tools; publishing research findings in leading peer-reviewed journals and presenting at international conferences; mentoring and guiding junior scientists and research assistants; securing research funding through grant applications and proposals; collaborating with cross-disciplinary teams to foster innovation and knowledge exchange; staying abreast of the latest scientific advancements and emerging trends in relevant fields; contributing to the strategic direction of the research department. The ideal candidate will possess a Ph.D. in a relevant scientific discipline (e.g., Physics, Chemistry, Biology, Computer Science, Mathematics) with extensive post-doctoral and research experience. A strong publication record, demonstrated success in securing research grants, and exceptional analytical and critical thinking skills are mandatory. Experience with advanced modeling, simulation, or data analysis techniques is highly valued. If you are driven by intellectual curiosity and possess the leadership to spearhead significant scientific endeavors, this remote opportunity offers an unparalleled platform for impact. Our client champions diversity and inclusion in all aspects of its operations.
Location: This role is entirely remote.
Lead Scientific Researcher
Posted 20 days ago
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Job Description
Key Responsibilities:
- Lead and manage a research team, providing scientific direction and mentorship.
- Develop and execute research strategies and project plans aligned with organizational goals.
- Design and conduct complex experiments, ensuring rigorous scientific methodology.
- Analyze and interpret experimental data, drawing robust conclusions and formulating hypotheses.
- Secure funding through grant writing and proposal development.
- Oversee research budgets, manage resources, and ensure efficient use of laboratory equipment.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Collaborate with internal and external partners to foster scientific innovation.
- Ensure compliance with all ethical, safety, and regulatory guidelines in research.
- Stay abreast of the latest scientific literature and emerging trends in the field.
- Manage intellectual property and explore commercialization opportunities.
- Develop and implement quality control measures for research processes.
- Contribute to the strategic planning and future direction of the research department.
- Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Environmental Science).
- Minimum of 8 years of post-doctoral or industry research experience, with a proven track record of leading research projects.
- Demonstrated success in obtaining research grants and managing funding.
- Extensive experience in experimental design, data analysis, and interpretation.
- Strong publication record in reputable scientific journals.
- Excellent leadership, team management, and interpersonal skills.
- Proficiency in relevant scientific software and analytical tools.
- Exceptional written and verbal communication skills, with the ability to communicate complex scientific concepts clearly.
- Ability to think critically and creatively to solve challenging scientific problems.
- Experience in a hybrid work environment, balancing collaborative lab work with independent research.
- Strong networking capabilities within the scientific community.
- A commitment to advancing scientific knowledge and its practical applications.
Principal Scientific Researcher - Genomics
Posted 20 days ago
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Job Description
Key responsibilities include:
- Designing, executing, and interpreting complex genomics experiments (e.g., whole-genome sequencing, transcriptomics, epigenomics).
- Developing and implementing advanced bioinformatics pipelines for the analysis of high-throughput sequencing data.
- Utilizing statistical and machine learning methods to identify genetic variations, gene expression patterns, and regulatory networks.
- Collaborating with interdisciplinary teams of scientists, clinicians, and data analysts to address challenging biological questions.
- Mentoring and guiding junior researchers and postdoctoral fellows in the lab.
- Writing high-impact scientific publications and presenting research findings at international conferences.
- Securing external funding through grant writing and proposal development.
- Staying abreast of the latest technological advancements and scientific literature in genomics and related fields.
- Managing research projects, including budget oversight, resource allocation, and timeline management.
- Ensuring the ethical conduct of research and compliance with all relevant regulations.
- Contributing to the strategic direction of the genomics research program.
- Developing novel hypotheses and research strategies based on experimental results and literature review.