What Jobs are available for Remote Senior Bioinformatician in Kenya?
Showing 524 Remote Senior Bioinformatician jobs in Kenya
Remote Senior Bioinformatician
Posted 21 days ago
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Job Description
Key responsibilities include:
- Developing, implementing, and maintaining robust bioinformatics pipelines for analyzing large-scale omics data (NGS, RNA-Seq, proteomics, etc.).
- Performing sophisticated statistical analysis and interpretation of genomic and other high-throughput biological data.
- Collaborating closely with molecular biologists, geneticists, and other researchers to define research questions and design experiments.
- Identifying and applying appropriate algorithms and computational methods for data analysis.
- Developing custom scripts and software tools to automate data analysis tasks.
- Visualizing complex biological data in clear and informative ways.
- Contributing to the design and execution of research projects, including grant writing and manuscript preparation.
- Staying current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Ensuring data integrity, reproducibility, and adherence to best practices in computational research.
- Mentoring junior bioinformaticians and providing technical guidance to research teams.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in bioinformatics research and data analysis.
- Proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, and Bash scripting.
- Extensive experience with standard bioinformatics tools and databases (e.g., BLAST, SAMtools, GATK, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments.
- Excellent problem-solving skills and the ability to work independently on complex research challenges.
- Strong written and verbal communication skills, with the ability to present complex findings clearly to diverse audiences.
- Experience with version control systems (e.g., Git) and collaborative software development practices.
- A passion for scientific discovery and a commitment to advancing biomedical research.
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                    Remote Senior Bioinformatician - Genomics
Posted 26 days ago
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Job Description
Responsibilities:
- Design, implement, and manage bioinformatics pipelines for high-throughput sequencing data analysis.
- Perform complex statistical and computational analyses of genomic datasets.
- Develop and apply novel algorithms and computational methods for biological data interpretation.
- Collaborate with experimental biologists, geneticists, and clinicians to interpret results and guide research directions.
- Stay abreast of the latest advancements in bioinformatics, genomics, and relevant technologies.
- Contribute to the writing of research papers, grant proposals, and technical reports.
- Mentor junior bioinformaticians and provide technical guidance.
- Ensure data integrity, quality control, and reproducibility of analyses.
- Present findings at scientific conferences and team meetings.
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                    Remote Senior Bioinformatician - Drug Discovery
Posted 17 days ago
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                    Remote Senior Bioinformatician - Genomics Research
Posted 26 days ago
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Job Description
Responsibilities:
- Develop, optimize, and maintain bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
- Analyze large-scale genomic, transcriptomic, and epigenomic datasets to identify biological insights.
- Perform statistical analysis of biological data, including variant calling, gene expression profiling, and pathway analysis.
- Collaborate with experimental scientists to design studies, interpret results, and troubleshoot technical challenges.
- Develop and implement novel computational methods and algorithms to address specific research questions.
- Manage and curate biological databases and knowledge resources.
- Write clear and concise documentation for bioinformatics tools, pipelines, and analysis protocols.
- Present research findings at scientific meetings and contribute to manuscript preparation for peer-reviewed publications.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant life sciences research.
- Mentor junior bioinformaticians and contribute to the training of research staff.
Qualifications:
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics analysis, with a strong focus on genomics and NGS data.
- Proficiency in scripting languages such as Python and R, and experience with relevant bioinformatics libraries.
- Hands-on experience with major bioinformatics tools and databases (e.g., BLAST, Bowtie, GATK, Ensembl).
- Strong understanding of statistical methods and their application in biological data analysis.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing (HPC) environments is a plus.
- Excellent problem-solving skills and the ability to work independently on complex projects.
- Strong written and verbal communication skills, with the ability to effectively communicate technical findings.
- Proven track record of research contributions, including publications in peer-reviewed journals.
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                    Remote Senior Bioinformatician - Bioinformatics Research
Posted 23 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement bioinformatics pipelines for analyzing large-scale omics data (genomics, transcriptomics, proteomics, etc.).
- Analyze complex biological datasets using advanced statistical and computational methods.
- Develop and maintain custom software tools and scripts to support research objectives.
- Collaborate with biologists and other researchers to interpret data and generate actionable insights.
- Visualize and present complex data in a clear and understandable format.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contribute to the writing of research papers, grant proposals, and technical documentation.
- Ensure the reproducibility and robustness of computational analyses.
- Mentor junior bioinformaticians and provide technical guidance.
- Manage bioinformatics infrastructure and databases as needed.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computer Science, Statistics, Computational Biology, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics research and analysis.
- Strong programming skills in languages such as Python, R, Perl, or C/C++.
- Extensive experience with various bioinformatics tools and databases (e.g., BLAST, SAMtools, GATK).
- Proficiency in analyzing next-generation sequencing (NGS) data.
- Solid understanding of molecular biology and genetics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities, essential for a remote team.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
This remote role will support research initiatives relevant to the **Malindi, Kilifi, KE** area, but all work is performed remotely. We are seeking a motivated, detail-oriented, and highly skilled bioinformatician eager to contribute to impactful scientific research in a flexible, remote environment.
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                    Senior Remote Bioinformatician
Posted 9 days ago
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Job Description
Responsibilities:
- Design, develop, and implement bioinformatics pipelines and algorithms for the analysis of large-scale biological data (genomics, transcriptomics, proteomics, etc.).
- Analyze and interpret complex datasets to identify biological insights, patterns, and significant findings.
- Develop and maintain databases and tools for data management and retrieval.
- Collaborate with molecular biologists, geneticists, and other researchers to define project goals and experimental designs.
- Stay up-to-date with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contribute to the writing of research papers, grant proposals, and scientific presentations.
- Mentor junior bioinformaticians and research staff.
- Develop and optimize computational workflows for scalability and efficiency.
- Ensure data integrity, reproducibility, and quality control of analyses.
- Troubleshoot technical issues related to data analysis and computational infrastructure.
- Present research findings to both technical and non-technical audiences.
- Manage multiple research projects concurrently.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of professional experience in bioinformatics, with a strong focus on data analysis and pipeline development.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Bash).
- Extensive experience with standard bioinformatics tools and databases (e.g., BLAST, UCSC Genome Browser, Ensembl).
- Demonstrated experience analyzing large genomic, transcriptomic, or proteomic datasets.
- Strong understanding of statistical methods and machine learning techniques relevant to biological data analysis.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for remote teamwork.
- Ability to work independently, manage projects, and meet deadlines in a remote environment.
- Publication record in peer-reviewed journals is highly desirable.
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                    Senior Bioinformatician (Remote)
Posted 19 days ago
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Job Description
Responsibilities include designing and implementing bioinformatics pipelines, developing novel algorithms for data interpretation, and collaborating with biologists and clinicians to address complex research questions. You will be responsible for managing and processing massive datasets, ensuring data integrity, and communicating findings to diverse scientific audiences. This role demands exceptional analytical thinking, programming proficiency (e.g., Python, R, Perl), and experience with high-performance computing environments. As a remote-first position, you will need excellent self-management skills and the ability to collaborate effectively in a virtual setting. Our client is dedicated to fostering a cutting-edge research environment where you can make a significant impact on the future of healthcare. You will have the opportunity to work on challenging projects, publish your work, and contribute to the scientific community while enjoying the flexibility of remote work. This role is integral to translating raw biological data into actionable knowledge.
Key Responsibilities:
- Develop, implement, and maintain bioinformatics pipelines for analyzing high-throughput sequencing data (e.g., WGS, WES, RNA-Seq).
- Design and apply statistical and machine learning methods for biological data analysis.
- Collaborate with experimental biologists to interpret results and generate hypotheses.
- Develop and optimize algorithms for sequence alignment, variant calling, and gene expression analysis.
- Manage and curate large biological datasets.
- Present research findings at internal meetings and scientific conferences.
- Contribute to grant writing and manuscript preparation.
- Stay updated on the latest advancements in bioinformatics and computational biology.
- Ph.D. in Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- 5+ years of experience in bioinformatics analysis, with a focus on genomics or transcriptomics.
- Strong programming skills in Python, R, and/or Perl.
- Experience with cloud computing platforms (AWS, GCP) and containerization (Docker).
- Proficiency in using bioinformatics databases and tools.
- Excellent understanding of statistical principles and machine learning techniques.
- Strong communication and collaboration skills, suitable for a remote team.
- Demonstrated ability to independently manage complex projects.
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Senior Bioinformatician - Remote Research
Posted 27 days ago
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                    Senior Bioinformatician - Genomics (Remote)
Posted 12 days ago
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Job Description
Responsibilities:
- Develop, implement, and maintain robust bioinformatics pipelines for the analysis of large-scale genomic and transcriptomic data (e.g., WGS, WES, RNA-Seq).
- Perform statistical analysis and interpretation of sequencing data to identify genetic variations, gene expression patterns, and regulatory mechanisms.
- Design and execute computational experiments to address key biological questions.
- Collaborate with experimental biologists, geneticists, and clinicians to support research projects and clinical studies.
- Develop and implement algorithms and software tools for data analysis and visualization.
- Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology.
- Contribute to the preparation of manuscripts for publication and grant proposals.
- Manage and curate large biological datasets, ensuring data quality and integrity.
- Mentor junior bioinformaticians and research staff.
- Troubleshoot computational issues and optimize pipeline performance.
- Present research findings at scientific meetings and seminars.
- Ensure reproducibility and documentation of all computational analyses.
- Evaluate and integrate new bioinformatics tools and technologies.
- Contribute to the development of novel analytical approaches for emerging genomic technologies.
- Work effectively in a collaborative, remote research environment.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of hands-on experience in bioinformatics, with a strong focus on genomics and transcriptomics analysis.
- Proficiency in programming languages such as Python, R, Perl, or Bash.
- Extensive experience with NGS data analysis tools and platforms (e.g., BWA, GATK, STAR, DESeq2, Trinity).
- Strong understanding of statistical methods for biological data analysis.
- Experience with common bioinformatics databases and resources (e.g., NCBI, Ensembl, UCSC Genome Browser).
- Knowledge of cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments is highly desirable.
- Familiarity with version control systems (e.g., Git).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex computational concepts to diverse audiences.
- Ability to work independently and as part of a distributed team in a remote setting.
- Experience in single-cell RNA-seq analysis or epigenomics is a plus.
- Demonstrated ability to manage large datasets and complex analytical workflows.
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                    Senior Remote Computational Biologist / Bioinformatician
Posted 19 days ago
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Job Description
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of large-scale omics data (genomics, transcriptomics, proteomics, etc.).
- Analyze and interpret complex biological datasets to identify significant patterns, biomarkers, and therapeutic targets.
- Develop and apply statistical and machine learning methods to biological problems.
- Collaborate closely with experimental biologists, chemists, and other researchers to interpret results and plan future experiments.
- Contribute to the design of high-throughput screening and discovery experiments.
- Develop and maintain bioinformatics databases and tools.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Present research findings at scientific conferences and in peer-reviewed publications.
- Mentor junior researchers and provide technical guidance on bioinformatics tools and techniques.
- Ensure data integrity, reproducibility, and efficient data management in a remote research environment.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5-7 years of post-doctoral or industry experience in computational biology or bioinformatics research.
- Proven expertise in analyzing large biological datasets using tools such as R, Python, Perl, etc.
- Extensive experience with standard bioinformatics software and databases (e.g., BLAST, GATK, Ensembl, UCSC Genome Browser).
- Strong understanding of molecular biology, genetics, and genomics.
- Experience with various statistical modeling and machine learning techniques.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences in a remote setting.
- Experience in developing and managing reproducible computational workflows.
- Publications in high-impact peer-reviewed journals.
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