What Jobs are available for Senior Bioinformatician Remote in Kenya?
Showing 524 Senior Bioinformatician Remote jobs in Kenya
Senior Bioinformatician (Remote)
Posted 19 days ago
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Job Description
Our client, a pioneer in genomics and personalized medicine, is seeking a highly skilled Senior Bioinformatician to join their innovative and fully remote research and development team. This critical position involves developing and applying computational methods to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. You will play a key role in uncovering biological insights that drive the discovery of new diagnostics and therapeutics. The ideal candidate will possess a strong foundation in bioinformatics, computer science, statistics, and biology, coupled with extensive experience in data analysis and algorithm development.
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:
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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0
Senior Bioinformatician - Remote Research
Posted 27 days ago
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Job Description
Our client, a renowned scientific research organization, is looking for a highly skilled Senior Bioinformatician to join their fully remote scientific R&D team. This position is ideal for a motivated individual with a strong background in computational biology and extensive experience in analyzing large-scale biological datasets. You will be responsible for developing and applying computational tools and methods to interpret genomic, transcriptomic, and proteomic data. Key responsibilities include designing and executing bioinformatics pipelines, performing statistical analysis of biological data, and collaborating with molecular biologists, geneticists, and other researchers to address complex scientific questions. The ideal candidate will have a deep understanding of sequence alignment, variant calling, gene expression analysis, and other core bioinformatics techniques. Proficiency in scripting languages such as Python or R, and experience with bioinformatics software and databases are essential. You will also contribute to the development of novel algorithms and the exploration of new research avenues. Excellent communication skills are required to present research findings and collaborate effectively with remote team members. A Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, along with a minimum of 8 years of relevant research experience, is required. Prior experience in a remote research setting is highly advantageous. Join our innovative research environment and contribute to significant scientific advancements. The opportunity is based in Naivasha, Nakuru, KE , but is conducted entirely remotely.
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1
Senior Bioinformatician - Genomics (Remote)
Posted 12 days ago
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Job Description
Our client, a leading genomics research institute, is seeking a highly accomplished Senior Bioinformatician with expertise in genomics to join their dedicated, fully remote scientific team. This role is central to advancing our understanding of complex biological systems through the analysis of large-scale genomic and transcriptomic data. The ideal candidate will possess a Ph.D. or equivalent experience in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, coupled with extensive experience in analyzing next-generation sequencing (NGS) data. You will be responsible for developing and applying cutting-edge computational methods and pipelines to dissect genomic variations, gene expression patterns, and regulatory networks. This fully remote position demands strong programming skills, a deep understanding of biological principles, and the ability to translate complex data into meaningful scientific discoveries.
Responsibilities:
Qualifications:
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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2
Senior Remote Bioinformatician
Posted 9 days ago
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Job Description
Our client is a leading research institution seeking a highly skilled and experienced Senior Remote Bioinformatician to contribute to cutting-edge scientific discovery, supporting research potentially originating from Mombasa, Mombasa, KE . This is a fully remote position requiring exceptional expertise in computational biology, data analysis, and algorithm development. The ideal candidate will have a proven track record of analyzing large-scale genomic, proteomic, or transcriptomic datasets, developing novel bioinformatics pipelines, and collaborating with multidisciplinary research teams. You will play a crucial role in interpreting complex biological data and driving research forward.
Responsibilities:
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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3
Senior Bioinformatician - Genomics Research (Remote)
Posted 12 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Bioinformatician to join their world-class, fully remote scientific research and development division. This pivotal role will focus on the analysis and interpretation of large-scale genomic and molecular datasets to drive discovery and innovation in biological research. You will design and implement computational pipelines, develop novel analytical methods, and collaborate closely with biologists, geneticists, and clinicians to answer complex research questions. The ideal candidate will possess a strong foundation in molecular biology, genetics, and advanced computational skills. Responsibilities include performing next-generation sequencing (NGS) data analysis (e.g., variant calling, transcriptomics, epigenomics), developing statistical models, managing biological databases, visualizing complex data, and contributing to scientific publications and grant proposals. This is a remote-first position, allowing you to contribute to cutting-edge research from anywhere in the world and collaborate with a global team of scientists. We are looking for a meticulous researcher with exceptional analytical, programming (e.g., Python, R, Perl), and problem-solving skills, capable of working independently and as part of a multidisciplinary team. A Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field is required. Extensive experience in analyzing genomic data and utilizing high-performance computing environments is essential. Familiarity with various bioinformatics tools, databases, and public repositories is crucial. You will play a key role in advancing our client's research endeavors and contributing to significant scientific breakthroughs. This position is based out of Embu, Embu, KE , but is a fully remote role.
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4
Remote Senior Bioinformatician
Posted 5 days ago
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Job Description
Our client is a leading research institution seeking a highly motivated and experienced Senior Bioinformatician for a fully remote position. You will be at the forefront of analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics, to drive groundbreaking discoveries. This role requires a deep understanding of computational biology, statistical analysis, and programming skills. As a remote team member, you will collaborate with researchers worldwide, contributing to cutting-edge scientific projects from your dedicated home office. This is an exceptional opportunity to advance scientific knowledge in a flexible, remote work setting.
Responsibilities:
Responsibilities:
- Design and implement computational pipelines for the analysis of large-scale omics data (genomics, transcriptomics, proteomics, metabolomics).
- Develop and apply statistical methods to interpret biological data and identify significant findings.
- Collaborate with biologists, geneticists, and other researchers to define research questions and design experiments.
- Develop and maintain bioinformatics databases and tools.
- Perform data mining and pattern recognition on complex biological datasets.
- Contribute to the interpretation of results and the preparation of manuscripts for publication.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological sciences.
- Mentor junior bioinformaticians and provide technical guidance.
- Develop and optimize algorithms for biological data analysis.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
- Communicate research findings effectively to both scientific and non-scientific audiences.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 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, or Java.
- Extensive experience with various bioinformatics tools and databases (e.g., BLAST, GATK, SAMtools, Ensembl, NCBI).
- Strong understanding of statistical principles and machine learning techniques relevant to biological data.
- Experience with high-performance computing environments and cloud platforms (AWS, GCP, Azure) for data analysis.
- Proven ability to analyze and interpret large genomic, transcriptomic, or proteomic datasets.
- Excellent problem-solving skills and the ability to work on complex, interdisciplinary projects.
- Strong written and verbal communication skills, with a track record of publications in peer-reviewed journals.
- Demonstrated experience working effectively in a remote research environment.
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5
Senior Research Scientist - Remote Bioinformatician
Posted 18 days ago
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Job Description
Our client is seeking a highly skilled Senior Research Scientist specializing in Bioinformatics to join their cutting-edge scientific research team. This role offers a flexible hybrid work arrangement, allowing for a blend of remote and on-site collaboration. You will be instrumental in analyzing complex biological data, developing computational methods, and contributing to groundbreaking discoveries in fields such as genomics, proteomics, and systems biology. Your responsibilities will include designing and implementing bioinformatics pipelines, managing large-scale datasets, performing statistical analysis, and interpreting results to answer critical biological questions. The ideal candidate will possess a deep understanding of molecular biology, genetics, and advanced computational techniques. Proficiency in programming languages such as Python, R, and/or Perl, along with experience in using various bioinformatics tools and databases, is essential. You will collaborate closely with experimental biologists, clinicians, and other computational scientists to drive research projects forward. This role demands exceptional analytical and problem-solving skills, a meticulous approach to data integrity, and the ability to communicate complex scientific findings clearly to diverse audiences. You will contribute to manuscript preparation and grant writing. The ability to work effectively both independently and as part of a collaborative team, managing multiple research tasks and prioritizing effectively, is crucial. A passion for scientific discovery, innovation in computational biology, and a commitment to rigorous research are highly valued. This is an exciting opportunity to contribute to significant scientific advancements and shape the future of biological research through sophisticated data analysis and a hybrid work model.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement bioinformatics pipelines for analyzing genomic, transcriptomic, and proteomic data.
- Manage and process large biological datasets from high-throughput sequencing experiments.
- Apply statistical and machine learning methods for data analysis and interpretation.
- Collaborate with experimental researchers to define research questions and design studies.
- Develop novel computational tools and algorithms to address specific research needs.
- Visualize and present complex biological data effectively to scientific audiences.
- Contribute to the writing of scientific publications and grant proposals.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Maintain high standards of data quality and reproducibility in research.
- Mentor junior researchers and students in bioinformatics methodologies.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral or industry research experience in bioinformatics.
- Proven expertise in analyzing large-scale biological datasets (e.g., next-generation sequencing).
- Strong programming skills in Python, R, and/or other relevant languages.
- Proficiency with common bioinformatics tools, databases, and software packages.
- Solid understanding of molecular biology, genetics, and statistical principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with experience in scientific writing.
- Ability to work effectively in a collaborative team environment, both remotely and on-site.
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6
Remote Senior Bioinformatician - Genomics
Posted 26 days ago
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Job Description
Our client is at the forefront of scientific innovation and is seeking a highly skilled and experienced Remote Senior Bioinformatician specializing in genomics. This fully remote position involves leading complex data analysis projects, developing novel computational approaches, and contributing to groundbreaking research in genetic sequencing and analysis. You will be responsible for processing, analyzing, and interpreting large-scale genomic datasets, including whole-genome, exome, and RNA-seq data. The role requires a deep understanding of various bioinformatics pipelines, statistical methods, and machine learning techniques applicable to biological data. You will collaborate with a team of researchers and scientists globally, providing critical insights and driving research objectives forward.
Responsibilities:
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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7
Remote Senior Bioinformatician - Drug Discovery
Posted 17 days ago
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Job Description
Our client, a groundbreaking pharmaceutical research company, is seeking a Remote Senior Bioinformatician to spearhead critical data analysis initiatives within their drug discovery division. This fully remote role offers a pivotal opportunity to influence the development of novel therapeutics by leveraging advanced computational and statistical methods. You will be responsible for analyzing large-scale omics datasets (genomics, transcriptomics, proteomics) to identify potential drug targets, biomarkers, and mechanisms of action. Key duties include developing and implementing sophisticated pipelines for data processing and analysis, performing statistical modeling and machine learning, and visualizing complex biological data. You will collaborate closely with chemists, biologists, and clinical researchers, providing bioinformatic expertise to guide experimental design and interpret results. The ideal candidate holds a PhD or Master's degree in Bioinformatics, Computational Biology, Statistics, or a related quantitative field, with a minimum of 5 years of post-graduate experience in the pharmaceutical or biotech industry. Demonstrable expertise in programming languages such as Python or R, proficiency with bioinformatics databases and tools, and experience with cloud computing platforms are essential. You should possess a strong understanding of biological pathways and disease mechanisms. Excellent communication skills are required to effectively present complex findings to multidisciplinary teams. This role demands a highly analytical, self-motivated individual capable of independent work and proactive problem-solving within a virtual team structure. Contribute to the future of medicine from your remote work setting, supporting our client's vital research efforts impacting the **Nairobi, Nairobi, KE** region and beyond.
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8
Remote Senior Bioinformatician - Genomics Research
Posted 26 days ago
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Job Description
Our client, a cutting-edge biotechnology research institute, is seeking a highly skilled Senior Bioinformatician to contribute to groundbreaking research in genomics and molecular biology. This is a fully remote position, enabling you to work from your dedicated research space and collaborate with a world-class team of scientists. The ideal candidate possesses a strong background in computational biology, statistical analysis, and experience with large-scale biological datasets. You will be responsible for developing and implementing computational pipelines for the analysis of next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-Seq data. Your role will involve analyzing complex biological data to identify genetic variations, gene expression patterns, and regulatory mechanisms related to various diseases and biological processes. Collaboration with experimental biologists, geneticists, and other researchers will be integral to translating computational findings into biological insights. Proficiency in scripting languages such as Python or R, along with experience in utilizing bioinformatics databases and tools, is essential. The ability to design and execute rigorous statistical analyses, interpret results, and present findings clearly and effectively to both technical and non-technical audiences is crucial. This is an exciting opportunity for an experienced bioinformatician to make significant contributions to scientific discovery in a flexible, remote work setting. You will have the chance to work on diverse and challenging research projects, pushing the boundaries of genomic understanding. A proactive approach to problem-solving, a keen interest in biological questions, and a commitment to scientific integrity are highly valued.
Responsibilities:
Qualifications:
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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