2,198 Senior Bioinformatics Scientist Genomics Research jobs in Kenya
Lead Bioinformatics Scientist - Genomics Research
Posted 11 days ago
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Job Description
Responsibilities:
- Lead and manage bioinformatics projects related to genomics and transcriptomics.
- Develop and implement novel bioinformatics pipelines and algorithms for analyzing large-scale sequencing data.
- Perform computational analysis of genomic, transcriptomic, and epigenomic data.
- Supervise and mentor a team of bioinformaticians and research staff.
- Collaborate with experimental scientists and clinicians to interpret research findings.
- Design and conduct computational experiments to test hypotheses.
- Contribute to grant writing and secure research funding.
- Present research results at national and international conferences.
- Maintain and manage bioinformatics databases and computational infrastructure.
- Stay current with the latest advancements in bioinformatics and genomics.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in bioinformatics, with a focus on genomics.
- Strong publication record in peer-reviewed journals.
- Proficiency in programming languages like Python, R, and Perl.
- Experience with high-performance computing clusters and cloud computing platforms.
- Expertise in standard bioinformatics tools, databases, and analytical techniques.
- Excellent analytical, statistical, and problem-solving skills.
- Strong leadership, communication, and interpersonal skills.
- Ability to manage multiple research projects and mentor junior scientists.
- Experience with data visualization tools and techniques.
Senior Bioinformatics Scientist - Genomics Research
Posted 8 days ago
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Job Description
Remote Bioinformatics Scientist - Genomics Research
Posted 22 days ago
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Job Description
You will be responsible for the design, implementation, and interpretation of bioinformatics pipelines for various research projects. This includes working with next-generation sequencing (NGS) data, performing variant calling, gene expression analysis, and comparative genomics. The role involves close collaboration with experimental biologists, geneticists, and other computational scientists to translate research questions into actionable analytical strategies. Our client is committed to pushing the boundaries of scientific knowledge and provides a stimulating environment for researchers to thrive. The hybrid model ensures both focused remote work and essential team interaction for collaborative problem-solving and innovation.
Lead Research Scientist - Bioinformatics and Genomics
Posted 6 days ago
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Job Description
Responsibilities:
- Lead the design, execution, and interpretation of large-scale genomics, transcriptomics, and epigenomics studies.
- Develop, optimize, and implement novel bioinformatics pipelines and algorithms for next-generation sequencing data analysis.
- Collaborate with experimental biologists and clinicians to define research questions and design appropriate computational strategies.
- Analyze and interpret complex biological data, identifying key insights and deriving testable hypotheses.
- Present research findings at internal meetings, scientific conferences, and through peer-reviewed publications.
- Mentor and guide junior scientists and research associates in bioinformatics and data analysis.
- Contribute to grant proposals and secure funding for research projects.
- Stay current with the latest advancements in bioinformatics, genomics, machine learning, and related computational biology fields.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
- Manage multiple research projects concurrently, ensuring timely delivery of results.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related quantitative field.
- A minimum of 8 years of post-doctoral research experience in bioinformatics or computational genomics.
- Demonstrated expertise in analyzing diverse omics data (e.g., WGS, WES, RNA-seq, ChIP-seq).
- Proficiency in programming languages such as Python, R, and scripting languages (e.g., Bash).
- Strong experience with bioinformatics tools, databases, and software packages (e.g., GATK, STAR, DESeq2, etc.).
- Experience with high-performance computing (HPC) environments and cloud computing platforms (AWS, GCP).
- Excellent understanding of statistical principles and machine learning techniques applicable to biological data.
- Proven track record of scientific publications in reputable journals.
- Exceptional communication, presentation, and interpersonal skills, with the ability to thrive in a remote, collaborative setting.
- Strong leadership and project management capabilities.
Lead Research Scientist - Bioinformatics & Genomics
Posted 19 days ago
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Job Description
Key Responsibilities:
- Lead the design and execution of bioinformatics and genomics research projects.
- Develop and optimize computational pipelines for analyzing large-scale omics data.
- Apply statistical methods and machine learning techniques to biological data.
- Interpret complex genomic data to identify patterns, biomarkers, and novel insights.
- Supervise and mentor a team of bioinformaticians and research assistants.
- Collaborate with experimental biologists, clinicians, and other researchers to integrate findings.
- Develop and validate new algorithms and analytical tools.
- Manage research infrastructure, including databases and high-performance computing resources.
- Contribute to grant writing and secure research funding.
- Disseminate research findings through publications and presentations at scientific conferences.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Statistics, or a related field.
- Minimum of 7 years of post-doctoral or industry research experience in bioinformatics and genomics.
- Demonstrated experience in leading research teams and managing complex projects.
- Strong publication record in peer-reviewed journals.
- Expertise in analyzing various types of genomic data (e.g., WGS, WES, RNA-seq, ChIP-seq).
- Proficiency in programming languages such as Python, R, and scripting languages (e.g., Bash).
- Experience with high-performance computing (HPC) environments and cloud computing platforms.
- Solid understanding of molecular biology, genetics, and statistical principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional written and verbal communication skills.
- Ability to work independently and lead effectively in a remote research environment.
Senior Research Scientist, Bioinformatics & Genomics
Posted 22 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of large-scale genomic and transcriptomic data.
- Perform sophisticated statistical analysis and interpretation of genomic datasets from various high-throughput sequencing technologies.
- Develop and apply novel computational methods and algorithms to address complex biological questions.
- Collaborate with experimental scientists to design studies, analyze data, and interpret results.
- Contribute to the generation of high-quality research publications and presentations.
- Maintain up-to-date knowledge of the latest advancements in bioinformatics, genomics, and related fields.
- Mentor junior researchers and contribute to the scientific discourse within the R&D team.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
Required Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry research experience in bioinformatics and genomics.
- Extensive experience with next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
- Proficiency in programming languages such as Python, R, Perl, or similar.
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with major bioinformatics databases (e.g., NCBI, Ensembl) and software tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to conduct independent research and publish findings in peer-reviewed journals.
- Exceptional communication and collaboration skills, with the ability to thrive in a fully remote research environment.
Remote Senior Research Scientist - Bioinformatics and Genomics
Posted 22 days ago
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Job Description
Key Responsibilities:
- Develop and implement novel bioinformatics algorithms and pipelines for the analysis of genomic, transcriptomic, and proteomic data.
- Perform in-depth statistical analysis of large-scale biological datasets, including GWAS, RNA-Seq, and ChIP-Seq.
- Design and execute computational experiments to address complex biological questions.
- Interpret and integrate multi-omics data to identify biomarkers, pathways, and therapeutic targets.
- Collaborate with experimental researchers to guide study design and data interpretation.
- Develop and maintain reproducible research workflows and robust data management practices.
- Mentor and supervise junior researchers, postdoctoral fellows, and students.
- Contribute to writing grant proposals and securing research funding.
- Disseminate research findings through publications in high-impact journals and presentations at international conferences.
- Stay current with the latest advancements in bioinformatics, genomics, and related computational fields.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of post-doctoral research experience in bioinformatics or genomics.
- Demonstrated expertise in programming languages such as Python, R, and/or Perl.
- Proficiency with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Strong experience with next-generation sequencing (NGS) data analysis and related technologies.
- Experience with statistical modeling, machine learning, and data visualization techniques.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and high-performance computing (HPC) environments.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to manage research projects independently and effectively in a remote setting.
- Outstanding written and verbal communication skills, with a strong track record of publications.
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Principal Research Scientist - Genomics & Bioinformatics
Posted 4 days ago
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Responsibilities:
- Design and implement cutting-edge genomics research projects, including whole-genome sequencing, transcriptomics, and epigenomics studies.
- Develop and optimize bioinformatics pipelines for the analysis of large-scale sequencing data.
- Perform sophisticated statistical analyses to identify genetic associations, understand gene regulation, and elucidate biological mechanisms.
- Interpret complex genomic datasets and translate findings into actionable biological insights and potential therapeutic targets.
- Lead and mentor a team of postdoctoral fellows, research associates, and graduate students.
- Write compelling grant proposals to secure external funding for research projects.
- Author and co-author high-impact publications in peer-reviewed scientific journals.
- Collaborate with interdisciplinary teams of biologists, clinicians, and computational scientists.
- Present research findings at national and international scientific conferences.
- Stay abreast of the latest advancements in genomics, bioinformatics, and relevant scientific fields.
- Contribute to the strategic direction of the research division and the development of new research areas.
- Manage research resources, including computational infrastructure and laboratory supplies, as applicable.
- Ph.D. in Genomics, Bioinformatics, Computational Biology, Genetics, or a closely related field.
- A minimum of 7 years of post-doctoral research experience with a strong publication record in leading scientific journals.
- Extensive hands-on experience with next-generation sequencing technologies (e.g., Illumina, PacBio, Oxford Nanopore).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with relevant bioinformatics software packages and databases.
- Expertise in statistical genetics, population genetics, and/or systems biology.
- Demonstrated experience in managing research projects and leading research teams.
- Proven ability to secure external research funding through competitive grant applications.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication and presentation skills.
- Ability to work independently and collaboratively in a fully remote, international research environment.
Senior Research Scientist - Genomics & Bioinformatics
Posted 22 days ago
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Job Description
Key Responsibilities:
- Design and lead research projects focused on analyzing large-scale genomic and transcriptomic datasets.
- Develop and implement novel bioinformatics pipelines and algorithms for data processing, analysis, and visualization.
- Perform statistical analysis of complex biological data to identify significant patterns, correlations, and biomarkers.
- Interpret research findings, draw robust conclusions, and communicate results effectively through reports and presentations.
- Collaborate with experimental biologists, clinicians, and other researchers to integrate multi-omics data and advance scientific understanding.
- Stay current with the latest advancements in genomics, bioinformatics, computational biology, and relevant scientific fields.
- Contribute to the development of intellectual property and scientific publications.
- Mentor junior scientists and research staff, providing guidance on experimental design and data analysis.
- Manage research projects, timelines, and resources efficiently.
- Ensure the quality, integrity, and security of research data.
- Evaluate and adopt new technologies and methodologies to enhance research capabilities.
Qualifications:
- A Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 6 years of relevant research experience, with a focus on genomic data analysis.
- Proven expertise in statistical genetics, population genetics, or functional genomics.
- Proficiency in programming languages such as Python, R, or Perl, and experience with relevant bioinformatics libraries and tools.
- Experience with high-throughput sequencing data analysis (e.g., WGS, WES, RNA-Seq).
- Strong understanding of biological pathways, molecular mechanisms, and disease biology.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong scientific writing and presentation skills.
- Demonstrated ability to lead research projects and collaborate effectively in a remote team environment.
- Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
This is a challenging and rewarding opportunity to contribute to groundbreaking scientific research. If you are a visionary scientist with a passion for data-driven discovery, we encourage you to apply.
Lead Bioinformatics Scientist - Genomics
Posted 20 days ago
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