1,897 Senior Bioinformatics Research Scientist jobs in Kenya
Lead Bioinformatics Scientist - Genomics Research
Posted 14 days ago
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Job Description
Our client, a leading research institution at the forefront of genomic discovery, is seeking a highly accomplished Lead Bioinformatics Scientist to spearhead their computational genomics research. This is a fully remote position, offering an exceptional opportunity to contribute to groundbreaking scientific advancements from your home office. You will be responsible for designing and implementing advanced bioinformatics pipelines and algorithms to analyze large-scale genomic and transcriptomic datasets. This includes developing and applying computational methods for variant calling, gene expression analysis, pathway analysis, and genome assembly. You will lead a team of bioinformaticians, providing scientific guidance, mentorship, and technical expertise. Collaboration with experimental biologists, clinicians, and other researchers is critical to interpret findings and drive research projects forward. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a strong publication record in genomics and bioinformatics. A minimum of 7 years of post-doctoral research experience in bioinformatics, with a significant focus on genomics, is required. Proven expertise in programming languages such as Python and R, and experience with high-performance computing environments and relevant bioinformatics tools and databases (e.g., BLAST, ENSEMBL, UCSC Genome Browser) are essential. Strong analytical and statistical skills, coupled with excellent communication and leadership abilities, are paramount for success in this role. You will be expected to secure funding, present research findings at conferences, and contribute to the strategic direction of the bioinformatics group. As a remote lead, you will utilize sophisticated collaboration and data management tools to ensure seamless project execution and team coordination. Our client is committed to fostering a collaborative and innovative research environment, providing challenging opportunities for impactful scientific discovery.
Responsibilities:
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.
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Senior Bioinformatics Scientist - Genomics Research
Posted 11 days ago
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Job Description
Our client is seeking a highly accomplished Senior Bioinformatics Scientist to lead innovative research projects in genomics. This is a fully remote position, allowing you to contribute to groundbreaking scientific discoveries from anywhere. You will be responsible for developing and applying computational methods to analyze large-scale genomic and transcriptomic datasets, identify disease-related genes, and uncover novel biological insights. Your work will involve designing and executing bioinformatics pipelines, performing statistical analysis, visualizing complex data, and collaborating closely with molecular biologists, geneticists, and clinicians. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, or a related field, with extensive experience in analyzing next-generation sequencing (NGS) data. Proficiency in programming languages such as Python or R, along with experience in shell scripting and using high-performance computing environments (HPC), is essential. Familiarity with various bioinformatics tools and databases (e.g., SAMtools, GATK, Ensembl, UCSC Genome Browser) is required. A strong understanding of molecular biology, genetics, and statistical genetics is crucial. You should have a proven ability to interpret complex biological data and communicate findings effectively through publications and presentations. This is an exceptional opportunity to contribute to cutting-edge research, advance our understanding of human health, and work within a highly collaborative and intellectually stimulating remote team. You will be at the forefront of genomic data analysis, shaping the future of precision medicine and therapeutic development. The ability to independently manage research projects and mentor junior scientists will be highly valued.
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Bioinformatics Scientist - Genomics Research
Posted 1 day ago
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Job Description
Our client is seeking a talented Bioinformatics Scientist to join their cutting-edge Scientific Research & Development division. This role will focus on the analysis and interpretation of large-scale genomic and molecular datasets to drive novel discoveries and support drug development pipelines. You will be instrumental in developing and applying computational methodologies to address complex biological questions, working with diverse data types including next-generation sequencing (NGS), transcriptomics, and proteomics. Your responsibilities will include designing bioinformatics analysis pipelines, performing statistical analysis, visualizing complex data, and integrating information from multiple sources. You will collaborate closely with bench scientists, clinicians, and other bioinformaticians to interpret results, generate hypotheses, and contribute to research publications and project milestones. The ideal candidate will possess a strong understanding of genomics, molecular biology, and statistical genetics, coupled with expert-level proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and databases. You should be adept at working with high-performance computing environments and possess excellent communication skills to effectively present complex findings to diverse audiences. This position offers a unique opportunity to contribute to groundbreaking research in a collaborative and intellectually stimulating environment. While the role is primarily based in our Nairobi office, a hybrid work model is available to provide flexibility. We are looking for a driven individual who is passionate about using computational approaches to unlock the secrets of biological systems and advance scientific knowledge. Your expertise will directly impact the direction of research and the development of innovative solutions to challenging biological problems.
Responsibilities:
Responsibilities:
- Design, develop, and implement bioinformatics analysis pipelines for genomic and molecular data.
- Perform statistical analysis, data mining, and interpretation of large biological datasets.
- Integrate and analyze data from various sources, including NGS, transcriptomics, and proteomics.
- Collaborate with research scientists and clinicians to interpret findings and generate hypotheses.
- Develop data visualization tools and reports to communicate complex results.
- Contribute to research publications, grant proposals, and project reports.
- Maintain and manage bioinformatics databases and computational resources.
- Stay current with the latest advancements in bioinformatics, genomics, and related fields.
- Troubleshoot and optimize existing bioinformatics workflows.
- Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Proven experience in analyzing genomic, transcriptomic, or proteomic data.
- Expert proficiency in programming languages such as Python or R.
- Experience with bioinformatics tools and software packages (e.g., SAMtools, BEDTools, GATK).
- Familiarity with Unix/Linux operating systems and high-performance computing environments.
- Strong understanding of molecular biology, genetics, and statistical principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
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Remote Bioinformatics Scientist - Genomics Research
Posted 25 days ago
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Job Description
Our client, a cutting-edge research institution, is seeking a highly skilled and motivated Bioinformatics Scientist to join their Scientific Research & Development team. This hybrid role offers the flexibility of remote work combined with essential on-site collaboration, based in Meru. The successful candidate will play a crucial role in analyzing large-scale genomic datasets, developing novel computational methods, and contributing to groundbreaking discoveries in molecular biology and genetics. This position requires a strong foundation in bioinformatics, computational biology, and statistical analysis, coupled with practical experience in handling complex biological data.
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.
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.
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Bioinformatics Research Scientist
Posted 25 days ago
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Job Description
Our client, a cutting-edge scientific research institution focused on genetic sequencing and data analysis, is seeking a highly skilled Bioinformatics Research Scientist to join their pioneering team. This role is entirely remote, allowing you to contribute to groundbreaking research from your home office. The successful candidate will be responsible for developing and implementing advanced computational methods to analyze large-scale biological datasets, including genomic, transcriptomic, and proteomic data. Your work will involve designing and executing complex bioinformatics pipelines, identifying significant biological patterns, and contributing to the interpretation of research findings. This position requires a strong foundation in computer science, statistics, and molecular biology. You will collaborate closely with bench scientists and other researchers, providing computational support and expertise. Responsibilities include data preprocessing, quality control, statistical analysis, data visualization, and the development of novel algorithms. Experience with various programming languages (e.g., Python, R, Perl) and bioinformatics tools/databases is essential. The ability to work independently, manage complex projects, and communicate technical information clearly to both technical and non-technical audiences is critical. This remote role demands exceptional problem-solving skills and a proactive approach to identifying and addressing research challenges. You will be expected to stay abreast of the latest advancements in bioinformatics and computational biology, contributing to the intellectual output of the research group through publications and presentations. The ability to design reproducible research workflows and manage version control (e.g., Git) is a must. We are looking for an individual with a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related field, with a proven track record of research achievement. Familiarity with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments is a plus. This is an exceptional opportunity to work on impactful research projects from the comfort of your home, contributing to advancements in fields such as personalized medicine and disease biology, specifically supporting research initiatives relevant to **Mlolongo, Machakos, KE**.
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Senior Bioinformatics Research Scientist
Posted 15 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior Bioinformatics Research Scientist to join our cutting-edge scientific research and development team. This is a fully remote position, offering the flexibility to work from anywhere within Kenya. You will be instrumental in driving our research initiatives forward, focusing on the analysis of complex biological datasets to uncover novel insights and develop innovative solutions. Your work will involve designing and implementing computational strategies for genomic, proteomic, and transcriptomic data analysis.
Key responsibilities include:
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a strong track record of research and publication. A minimum of 5 years of post-doctoral or industry experience in bioinformatics is required. Expertise in programming languages such as Python, R, and/or Perl, along with experience in scripting languages for high-performance computing environments, is essential. Familiarity with cloud computing platforms (AWS, Google Cloud) and containerization technologies (Docker, Singularity) is highly desirable. Excellent communication and collaboration skills are paramount for success in this remote-first role. You will be contributing to groundbreaking research that has the potential to significantly impact human health and well-being. This role is based remotely, allowing you to contribute from **Naivasha, Nakuru, KE** while being part of a dynamic global research community. A passion for scientific discovery and a commitment to rigorous, data-driven research are crucial. Experience with machine learning techniques applied to biological data is a strong plus.
Key responsibilities include:
- Developing and applying advanced bioinformatics algorithms and pipelines for large-scale biological data analysis.
- Collaborating with cross-functional research teams to define research questions and experimental designs.
- Interpreting complex genomic and molecular data to identify disease biomarkers, therapeutic targets, and drug response predictors.
- Maintaining and updating databases of biological information and analysis tools.
- Staying abreast of the latest advancements in bioinformatics, computational biology, and related fields.
- Mentoring junior researchers and contributing to scientific publications and presentations.
- Ensuring data integrity, reproducibility, and ethical considerations in all research activities.
- Managing research projects, including resource allocation, timeline management, and progress reporting.
- Designing and performing in silico experiments to validate findings.
- Contributing to grant writing and securing external funding for research projects.
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a strong track record of research and publication. A minimum of 5 years of post-doctoral or industry experience in bioinformatics is required. Expertise in programming languages such as Python, R, and/or Perl, along with experience in scripting languages for high-performance computing environments, is essential. Familiarity with cloud computing platforms (AWS, Google Cloud) and containerization technologies (Docker, Singularity) is highly desirable. Excellent communication and collaboration skills are paramount for success in this remote-first role. You will be contributing to groundbreaking research that has the potential to significantly impact human health and well-being. This role is based remotely, allowing you to contribute from **Naivasha, Nakuru, KE** while being part of a dynamic global research community. A passion for scientific discovery and a commitment to rigorous, data-driven research are crucial. Experience with machine learning techniques applied to biological data is a strong plus.
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Remote Bioinformatics Research Scientist
Posted 25 days ago
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Job Description
Our client is looking for a talented and motivated Bioinformatics Research Scientist to join their pioneering remote research and development team. This role is focused on leveraging advanced computational approaches to analyze complex biological datasets, driving innovation in our scientific endeavors. You will be responsible for the design, development, and implementation of novel algorithms and analytical pipelines for genomic, proteomic, and transcriptomic data. This position requires a strong background in computational biology, statistics, and programming, with hands-on experience in analyzing large-scale biological data. Your duties will include identifying and applying appropriate statistical and machine learning methods to biological problems, interpreting research findings, and collaborating closely with wet-lab scientists and other stakeholders to guide experimental design and data interpretation. You will be expected to stay abreast of the latest advancements in bioinformatics and computational biology, contributing to the scientific literature through publications and presentations. The ability to effectively communicate complex scientific information to both technical and non-technical audiences is essential. This is a fully remote position, offering the flexibility to work from your preferred location while contributing to cutting-edge research. You will utilize a suite of sophisticated bioinformatics tools and databases, and potentially develop custom software solutions to address unique research questions. The role demands a rigorous scientific approach, meticulous attention to detail, and a passion for unraveling the complexities of biological systems through data-driven insights. Successful candidates will possess a PhD or Master's degree in Bioinformatics, Computer Science, Statistics, or a related field, coupled with significant research experience. The collaborative nature of this remote role means strong virtual communication and teamwork skills are paramount, ensuring seamless integration with our global research community and contributing to the advancement of scientific knowledge.
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Senior Computational Biologist / Bioinformatics Scientist
Posted 4 days ago
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Job Description
Our client is seeking a highly accomplished Senior Computational Biologist / Bioinformatics Scientist to join their leading-edge, fully remote scientific research and development team. This is an extraordinary opportunity to contribute to groundbreaking discoveries in biological sciences by leveraging advanced computational techniques and large-scale datasets. You will be instrumental in designing and executing bioinformatics analyses, developing novel algorithms, and building robust pipelines to interpret complex biological data, including genomics, transcriptomics, proteomics, and metabolomics. Your work will drive critical insights for drug discovery, personalized medicine, and fundamental biological research.
Responsibilities:
Responsibilities:
- Design, develop, and implement computational pipelines and algorithms for analyzing large-scale biological datasets (e.g., next-generation sequencing data).
- Perform sophisticated bioinformatics analyses, including variant calling, gene expression analysis, pathway analysis, and phylogenetic analysis.
- Develop and maintain robust data management systems and databases for biological information.
- Collaborate closely with experimental biologists, clinicians, and other researchers in a virtual environment to define research questions and analytical approaches.
- Interpret complex biological results and translate them into actionable insights for research programs.
- Stay abreast of the latest advancements in bioinformatics tools, algorithms, and biological research areas.
- Contribute to the writing of scientific publications, grant proposals, and technical reports.
- Develop and optimize software tools and scripts to automate repetitive analytical tasks.
- Mentor junior scientists and contribute to a collaborative and innovative research environment.
- Present research findings at scientific conferences and to internal stakeholders.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a related quantitative field.
- A minimum of 6 years of post-doctoral or industry experience in computational biology or bioinformatics.
- Demonstrated expertise in analyzing large-scale biological data (genomics, transcriptomics, proteomics, etc.).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Java).
- Experience with bioinformatics software packages, databases, and public repositories (e.g., NCBI, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical methods and machine learning techniques applicable to biological data.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication, presentation, and interpersonal skills, essential for effective remote collaboration.
- Ability to work independently, manage multiple research projects, and meet deadlines in a dynamic research setting.
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7
Senior Bioinformatics Research Scientist
Posted today
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Job Description
Our client is seeking a highly skilled and experienced Senior Bioinformatics Research Scientist to join their cutting-edge research team. This is a fully remote position, allowing you to contribute to groundbreaking scientific discoveries from anywhere. You will be instrumental in designing, implementing, and analyzing large-scale genomic and proteomic datasets. The ideal candidate possesses a strong theoretical foundation in computational biology and extensive practical experience with diverse bioinformatics tools and programming languages. You will collaborate with a multidisciplinary team of scientists, providing crucial data analysis support and developing novel computational approaches to address complex biological questions.
Responsibilities:
Responsibilities:
- Design and execute computational analyses of complex biological datasets, including genomics, transcriptomics, proteomics, and epigenomics.
- Develop, validate, and implement novel bioinformatics algorithms and pipelines for data processing, analysis, and visualization.
- Collaborate with experimental biologists and clinicians to define research questions and develop appropriate bioinformatics strategies.
- Interpret complex results and communicate findings effectively to both technical and non-technical audiences through reports, presentations, and publications.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contribute to grant writing and manuscript preparation.
- Mentor junior bioinformatics staff and provide technical guidance.
- Troubleshoot and resolve issues related to bioinformatics tools, pipelines, and data analysis.
- Contribute to the development of the overall research strategy and direction.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 7 years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and Perl.
- Extensive experience with common bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser, GATK).
- Strong understanding of statistical methods and machine learning applied to biological data.
- Experience with cloud computing platforms (AWS, Google Cloud, Azure) is a plus.
- Excellent problem-solving skills and ability to work independently and collaboratively in a remote setting.
- Strong written and verbal communication skills.
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Senior Bioinformatics Research Scientist - Remote Genomics Analysis
Posted 9 days ago
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Job Description
Our client is seeking a highly skilled and motivated Senior Bioinformatics Research Scientist to join their cutting-edge, fully remote scientific research and development team. In this pivotal role, you will leverage your expertise in computational biology and genomics to analyze complex biological datasets, drive scientific discovery, and contribute to groundbreaking research initiatives. This position requires a deep understanding of bioinformatics tools, algorithms, and programming languages, enabling you to manage, process, and interpret large-scale genomic, transcriptomic, and proteomic data. You will work collaboratively in a virtual environment with molecular biologists, geneticists, statisticians, and other research scientists to address complex biological questions and advance our understanding of disease mechanisms and therapeutic targets. Key responsibilities include developing and implementing robust bioinformatics pipelines, performing statistical analysis of biological data, visualizing complex results, and contributing to research publications and grant proposals. The ideal candidate will possess a strong track record of successfully applying bioinformatics methods to solve challenging biological problems and a proven ability to work independently and manage multiple research projects simultaneously in a remote setting. Proficiency in programming languages such as Python or R, experience with high-performance computing environments, and familiarity with various bioinformatics databases and software packages are essential. Excellent communication and presentation skills are crucial for effectively conveying complex scientific findings to both technical and non-technical audiences through virtual platforms. This remote role offers the flexibility to contribute to world-class research from your home base, supporting advancements that have implications for **Meru, Meru, KE**, and the global scientific community. If you are a passionate bioinformatician eager to make a significant impact in a remote, research-intensive environment, we encourage you to apply.
Responsibilities:
Responsibilities:
- Design, develop, and maintain bioinformatics pipelines for the analysis of large-scale omics data (genomics, transcriptomics, proteomics).
- Perform statistical analysis and interpretation of complex biological datasets.
- Develop and implement novel computational methods to address specific research questions.
- Visualize complex biological data and present findings clearly to research teams.
- Collaborate closely with experimental biologists, geneticists, and clinicians in a virtual environment.
- Contribute to the design of experiments and the selection of appropriate analytical approaches.
- Manage and process diverse biological datasets from various sources.
- Document computational methods, analysis workflows, and results rigorously.
- Contribute to scientific publications, conference presentations, and grant applications.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing large-scale omics data, including NGS data.
- Proficiency in programming languages such as Python or R, and scripting languages (e.g., Bash).
- Experience with bioinformatics databases, software tools, and statistical packages.
- Familiarity with high-performance computing (HPC) environments and cloud computing platforms.
- Strong understanding of molecular biology and genetics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills for remote collaboration.
- Demonstrated ability to work independently and manage research projects effectively.
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