4,979 Biostatistician jobs in Kenya
Senior Biostatistician
Posted 3 days ago
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- Designing statistical analysis plans for clinical trials and observational studies.
- Developing and applying statistical methodologies to analyze biological, clinical, and epidemiological data.
- Performing data cleaning, validation, and quality control.
- Conducting statistical programming using SAS, R, or similar software.
- Interpreting statistical results and generating tables, figures, and listings.
- Collaborating with researchers, clinicians, and other scientific staff to ensure the appropriate use of statistical methods.
- Contributing to the preparation of research protocols, study reports, and publications.
- Providing statistical expertise for grant applications and regulatory submissions.
- Mentoring junior biostatisticians and data analysts.
- Ensuring compliance with statistical best practices, regulatory guidelines (e.g., ICH), and ethical standards.
- Staying current with advancements in biostatistics and data science.
- Participating in scientific meetings and presenting findings.
- Developing and validating statistical models.
- Master's degree or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in biostatistics, preferably within a research or pharmaceutical setting.
- Proficiency in statistical programming languages such as SAS and R.
- Strong knowledge of statistical principles relevant to experimental design and data analysis.
- Experience with various statistical techniques, including regression analysis, survival analysis, and longitudinal data analysis.
- Familiarity with clinical trial design and conduct.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and interpersonal skills, both written and verbal.
- Ability to work independently and as part of a collaborative team.
- Experience with data management systems and software.
- Understanding of good clinical practice (GCP) and regulatory requirements.
Lead Biostatistician (Remote)
Posted 3 days ago
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Key Responsibilities:
- Develop statistical analysis plans (SAPs) for clinical trials, ensuring appropriate methodologies are employed.
- Perform statistical analysis of clinical trial data using SAS or R, generating tables, listings, and figures.
- Interpret statistical results and contribute to the preparation of clinical study reports (CSRs), integrated summaries, and regulatory submission documents.
- Provide statistical input into protocol development, case report form (CRF) design, and database development.
- Mentor and supervise junior biostatisticians, fostering their professional growth.
- Collaborate with clinical teams to ensure data integrity and sound statistical practices throughout the trial lifecycle.
- Stay current with statistical methodologies, regulatory guidelines (e.g., ICH), and industry best practices.
- Lead statistical programming efforts and ensure the quality and efficiency of statistical analyses.
- Present statistical findings and recommendations to internal teams and external stakeholders.
- Contribute to the strategic planning of statistical support for drug development programs.
- Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
- A minimum of 7 years of experience in biostatistics within the pharmaceutical or biotechnology industry.
- Extensive experience with SAS and/or R for statistical analysis.
- Strong understanding of clinical trial design, statistical principles, and regulatory requirements.
- Proven ability to lead projects and mentor team members.
- Excellent written and verbal communication skills, with the ability to explain complex statistical concepts to non-statisticians.
- Experience with data visualization tools is a plus.
- Demonstrated ability to work effectively in a remote, cross-functional team environment.
- Strong organizational skills and attention to detail.
- A commitment to producing high-quality, scientifically sound statistical analyses.
Senior Remote Biostatistician
Posted 3 days ago
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The ideal candidate will possess a strong academic background in biostatistics, statistics, or a related quantitative field, coupled with extensive experience in applied statistical analysis within a research setting. Proficiency in statistical software packages such as SAS, R, or SPSS is essential. Excellent communication skills are required to present complex statistical concepts clearly to both technical and non-technical audiences. You must have a meticulous approach to data management, statistical programming, and reporting. A proven ability to work independently on research projects, manage multiple priorities, and contribute effectively to team-based research efforts is critical. This is an exceptional opportunity to advance your career in scientific research and development, working on impactful projects with a leading organization.
Responsibilities:
- Design statistical aspects of research studies, including sample size calculations and randomization plans.
- Develop and implement statistical analysis plans (SAPs).
- Perform complex statistical analyses using appropriate software (SAS, R, SPSS, etc.).
- Interpret and report statistical findings to research teams.
- Collaborate with investigators on manuscript preparation and grant proposals.
- Ensure data quality, integrity, and adherence to statistical best practices.
- Provide statistical expertise and consultation to researchers.
- Contribute to the development of research protocols and data collection instruments.
- Stay updated on advancements in statistical methodology and their application in research.
- Assist in the review of research protocols and statistical reports.
- Master's or Ph.D. in Biostatistics, Statistics, or a closely related quantitative field.
- Minimum of 5 years of experience in biostatistical analysis within a research or clinical setting.
- Proficiency in statistical software like SAS, R, or SPSS.
- Strong understanding of experimental design and clinical trial methodologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills, with the ability to explain complex statistical concepts.
- Experience with data management and database systems.
- Ability to work effectively both independently and as part of a collaborative research team.
- Familiarity with data visualization techniques is a plus.
Remote Research Scientist - Data Analysis
Posted 3 days ago
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Responsibilities:
- Design and implement data analysis plans for research projects.
- Perform complex statistical analyses and build predictive models.
- Clean, preprocess, and transform large datasets.
- Interpret research findings and translate them into actionable insights.
- Develop and utilize algorithms for data mining and machine learning.
- Create compelling data visualizations to communicate complex results.
- Collaborate remotely with cross-functional research teams.
- Write technical reports, research papers, and presentations.
- Stay abreast of the latest advancements in data science and relevant scientific fields.
- Ensure the integrity and accuracy of all data analysis performed.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Physics, Mathematics, or a related discipline.
- Proven experience in scientific research and data analysis.
- Expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages like Python or R.
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Strong analytical and critical thinking skills.
- Excellent written and verbal communication skills for scientific reporting.
- Ability to work independently and manage research timelines in a remote setting.
- Demonstrated ability to solve complex scientific problems using data.
- Publications in peer-reviewed journals are a strong asset.
Lead Research Scientist - Remote Data Analysis & Modeling
Posted 3 days ago
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Senior Research Scientist - Remote Data Analysis & Modeling
Posted 3 days ago
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Job Description
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze large, complex datasets to identify trends, patterns, and insights.
- Design and conduct rigorous scientific research studies.
- Validate analytical models and methodologies.
- Interpret research findings and translate them into actionable recommendations.
- Collaborate with researchers and scientists across different disciplines through virtual platforms.
- Communicate research results effectively through reports, presentations, and publications.
- Stay current with the latest advancements in data science, statistical modeling, and relevant scientific fields.
- Mentor junior researchers and contribute to the team's analytical capabilities.
- Contribute to the development of new research methodologies and tools.
- Ph.D. or Master's degree in Statistics, Data Science, Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data analysis, statistical modeling, and scientific research.
- Proven expertise in programming languages such as Python, R, or MATLAB.
- Strong understanding of statistical principles, machine learning techniques, and experimental design.
- Experience with big data technologies and cloud computing platforms is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional written and verbal communication skills for technical reporting and presentation.
- Ability to work independently and manage multiple research projects in a remote setting.
- Demonstrated experience in collaborating effectively within a remote team environment.
Senior Pharmaceutical Research Scientist - Remote Data Analysis
Posted 3 days ago
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Senior Research Scientist - Biomedical Data Analysis (Remote)
Posted 3 days ago
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Responsibilities:
- Design and execute advanced statistical and computational analyses on large-scale biomedical datasets.
- Develop and apply machine learning and deep learning models for biological discovery.
- Integrate and analyze multi-omics data (genomics, proteomics, metabolomics, etc.).
- Collaborate with experimental biologists and clinicians to interpret data and generate hypotheses.
- Develop data visualization tools and methods to effectively communicate research findings.
- Contribute to the design of research studies and clinical trials.
- Write and maintain high-quality code for data analysis pipelines.
- Prepare manuscripts for publication in peer-reviewed journals and present findings at conferences.
- Stay current with the latest advancements in bioinformatics, computational biology, and data science.
- Mentor junior researchers and contribute to the development of data analysis best practices.
- Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry research experience in biomedical data analysis.
- Extensive experience with statistical analysis, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python, R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with large-scale biological datasets (e.g., next-generation sequencing, microarrays, clinical data).
- Familiarity with bioinformatics databases and tools.
- Strong publication record in reputable journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb written and verbal communication skills for scientific dissemination.
- Demonstrated ability to work independently and collaboratively in a remote research environment.
Research Scientist
Posted 3 days ago
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Key Responsibilities:
- Design, execute, and optimize scientific experiments.
- Collect, analyze, and interpret complex scientific data using appropriate methodologies.
- Develop and validate new research techniques and protocols.
- Contribute to the writing and publication of research findings in peer-reviewed journals.
- Present research results at scientific conferences and internal meetings.
- Collaborate with other scientists and researchers on joint projects.
- Maintain detailed and accurate laboratory notebooks and research records.
- Stay abreast of the latest advancements and methodologies in the relevant scientific field.
- Contribute to grant writing and funding applications as needed.
- Ensure adherence to safety protocols and ethical guidelines in research.
- Ph.D. or Master's degree in a relevant scientific discipline (e.g., Chemistry, Biology, Physics, Materials Science, Engineering).
- Demonstrated experience in scientific research and development.
- Expertise in specific laboratory techniques and analytical methods relevant to the field.
- Proficiency in scientific software for data analysis and modeling.
- Strong publication record or evidence of significant research contributions.
- Excellent problem-solving, critical thinking, and analytical skills.
- Exceptional written and verbal communication skills for scientific reporting and collaboration.
- Ability to work independently, manage time effectively, and maintain high standards of scientific rigor in a remote setting.
- A proactive and curious mindset with a passion for scientific discovery.
- Experience with cross-functional team collaboration is desirable.