What Jobs are available for Bioinformatician in Kenya?
Showing 2285 Bioinformatician jobs in Kenya
Lead Bioinformatician - Computational Biology
Posted 17 days ago
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Senior Bioinformatician - Computational Biology
Posted 16 days ago
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Responsibilities:
- Develop and implement computational pipelines for analyzing large-scale biological datasets (genomics, transcriptomics, etc.).
- Perform statistical analysis and machine learning to identify patterns and insights.
- Design and manage bioinformatics databases and workflows.
- Collaborate with biologists and researchers to define research questions and data analysis strategies.
- Visualize complex biological data and present findings clearly.
- Write high-quality code and documentation for bioinformatics tools and scripts.
- Stay current with the latest advancements in bioinformatics, computational biology, and related fields.
- Contribute to manuscript preparation and grant writing.
- Ensure data integrity, reproducibility, and adherence to best practices.
- Mentor junior bioinformaticians and research staff.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics analysis and computational biology research.
- Proficiency in programming languages such as Python and R for data analysis and tool development.
- Strong experience with bioinformatics databases, sequence analysis tools, and statistical methods.
- Familiarity with machine learning algorithms and their application in biology.
- Experience with data visualization tools and techniques.
- Excellent understanding of molecular biology, genetics, and genomics.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote research environment.
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Principal Bioinformatician
Posted 7 days ago
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Lead Bioinformatician
Posted 16 days ago
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Responsibilities:
- Lead the development and implementation of bioinformatics pipelines for large-scale biological data analysis.
- Analyze genomic, transcriptomic, proteomic, and other omics datasets.
- Develop and apply statistical and machine learning methods to biological data.
- Collaborate with experimental biologists to interpret results and guide research directions.
- Mentor and supervise junior bioinformaticians and research assistants.
- Manage data storage, processing, and analysis infrastructure.
- Ensure the quality, integrity, and reproducibility of computational analyses.
- Author and contribute to scientific publications and presentations.
- Stay current with advancements in bioinformatics tools, algorithms, and best practices.
- Contribute to grant writing and funding proposals.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in bioinformatics research and analysis.
- Proven experience leading bioinformatics projects and mentoring junior scientists.
- Expertise in programming languages such as Python, R, and shell scripting.
- Proficiency with standard bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl).
- Strong understanding of genomics, molecular biology, and statistical methods.
- Experience with cloud computing platforms (AWS, GCP, Azure) and big data technologies is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication skills for remote collaboration.
- Demonstrated ability to work independently and manage multiple research projects effectively.
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Lead Bioinformatician
Posted 1 day ago
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Senior Bioinformatician
Posted 11 days ago
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Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of omics data (genomics, transcriptomics, proteomics, etc.).
- Analyze large biological datasets using statistical and machine learning methods.
- Interpret complex biological data and translate findings into actionable scientific insights.
- Collaborate with researchers and clinicians to define research questions and experimental designs.
- Develop and maintain databases and computational resources.
- Stay up-to-date with the latest advancements in bioinformatics tools and methodologies.
- Contribute to the writing of research grants and scientific publications.
- Present research findings at scientific conferences and meetings.
- Mentor junior bioinformaticians and research staff.
- Ensure data integrity, reproducibility, and compliance with data privacy regulations.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics research.
- Extensive experience with next-generation sequencing (NGS) data analysis.
- Proficiency in programming languages such as Python and R, and associated bioinformatics libraries.
- Strong understanding of statistical methods and machine learning techniques relevant to biological data analysis.
- Experience with relevant biological databases (e.g., NCBI, Ensembl) and bioinformatics tools.
- Familiarity with cloud computing platforms (e.g., AWS, GCP) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
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Lead Bioinformatician - Genomics
Posted 2 days ago
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Senior Bioinformatician - Genomics
Posted 11 days ago
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Responsibilities:
- Design, develop, and implement bioinformatics pipelines for the analysis of genomic and transcriptomic data (NGS).
- Perform quality control, variant calling, annotation, and downstream analysis of sequencing data.
- Conduct statistical analysis of genomic data to identify significant findings, biomarkers, and potential therapeutic targets.
- Collaborate with experimental biologists and clinicians to interpret results and guide research directions.
- Develop and maintain databases and tools for genomic data management and analysis.
- Stay current with the latest advancements in genomics, bioinformatics tools, and computational methodologies.
- Communicate research findings effectively through reports, presentations, and publications.
- Mentor junior bioinformaticians and support the broader research team.
- Troubleshoot and optimize existing bioinformatics workflows.
- Contribute to the development of new research hypotheses based on data analysis.
- Master's or PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics, with a focus on genomic data analysis.
- Proven experience with analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Proficiency in programming languages such as Python, R, and bash scripting.
- Strong knowledge of bioinformatics tools, databases (e.g., Ensembl, UCSC Genome Browser), and reference genomes.
- Experience with statistical methods and machine learning for biological data analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb written and verbal communication skills, with the ability to present complex scientific information clearly.
- Demonstrated ability to work independently and collaboratively in a remote team setting.
- Familiarity with cloud computing environments (AWS, GCP) is a plus.
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Lead Bioinformatician - Remote
Posted 26 days ago
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Job Description
Responsibilities:
- Design, develop, and implement bioinformatics pipelines and algorithms.
- Analyze large-scale genomic, proteomic, and transcriptomic datasets.
- Interpret complex biological data to derive scientific insights and hypotheses.
- Collaborate with remote research teams to address specific scientific questions.
- Develop and apply statistical methods for data analysis and interpretation.
- Mentor and guide junior bioinformaticians and research staff.
- Manage and maintain biological databases and computational infrastructure.
- Stay abreast of the latest advancements in bioinformatics tools and methodologies.
- Contribute to grant proposals and scientific publications.
- Ensure data integrity, quality control, and reproducibility of analyses.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in bioinformatics research and analysis.
- Strong programming skills in languages such as Python, R, Perl, or Java.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Proficiency in statistical analysis and machine learning techniques for biological data.
- Experience with high-throughput sequencing data analysis (NGS).
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to lead research projects and mentor junior scientists.
- Strong communication and collaboration skills for remote work.
- Demonstrated track record of scientific publications is highly desirable.
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