What Jobs are available for Senior Bioinformatician Genomics in Kenya?
Showing 518 Senior Bioinformatician Genomics jobs in Kenya
Senior Bioinformatician - Genomics
Posted 25 days ago
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Job Description
Our client is seeking an experienced and highly skilled Senior Bioinformatician to join their advanced Scientific Research & Development team. This is a fully remote position, allowing you to work from anywhere while contributing to groundbreaking research. You will be responsible for the design, development, and implementation of computational strategies for analyzing large-scale genomic and transcriptomic datasets. Your core duties will include developing and maintaining bioinformatics pipelines, performing statistical analysis and interpretation of high-throughput sequencing data (NGS), identifying novel biomarkers, and contributing to scientific publications and grant proposals. You will collaborate closely with molecular biologists, geneticists, and other researchers to address complex biological questions. The ideal candidate will possess strong programming skills in languages such as Python, R, and/or Perl, along with extensive experience with bioinformatics tools and databases. Proficiency in shell scripting and familiarity with cluster computing environments (e.g., HPC, cloud platforms) are essential. Experience with single-cell RNA sequencing (scRNA-seq) data analysis, genome assembly, variant calling, and comparative genomics is highly desirable. We are looking for a candidate with excellent analytical and problem-solving abilities, meticulous attention to detail, and a passion for translating complex biological data into actionable insights. Strong communication skills are vital for effectively presenting findings to both technical and non-technical audiences in a remote setting. You must be a self-starter, capable of working independently and managing multiple projects concurrently while adhering to project deadlines. A Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field is required. A minimum of 5 years of relevant post-graduate experience in bioinformatics research, with a strong publication record, is essential. This is an exceptional opportunity to work on impactful research projects at the forefront of genomic science, contributing significantly to our understanding of biological systems, all within a flexible and supportive remote work environment. The role is based in **Ruiru, Kiambu, KE**, but the work will be performed entirely remotely.
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Senior Bioinformatician - Genomics (Remote)
Posted 11 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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1
Remote Senior Bioinformatician - Genomics
Posted 25 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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2
Senior Bioinformatician - Genomics Research
Posted 12 days ago
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Job Description
Our client is at the forefront of scientific innovation and is seeking a highly motivated Senior Bioinformatician to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking scientific discoveries from the comfort of your home office. You will be responsible for the design, development, and implementation of computational methods and pipelines to analyze large-scale biological datasets, particularly genomics and transcriptomics data. Your work will be pivotal in extracting meaningful insights from complex biological information, driving research forward and supporting the development of novel diagnostic and therapeutic strategies.
Key Responsibilities:
Key Responsibilities:
- Designing and executing bioinformatics analyses for next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq.
- Developing and optimizing bioinformatics pipelines for variant calling, gene expression analysis, and pathway analysis.
- Implementing and applying statistical and machine learning methods to biological data.
- Collaborating with biologists, geneticists, and clinicians to define research questions and interpret results.
- Managing and curating large biological databases.
- Developing custom scripts and software tools to automate data analysis tasks.
- Evaluating and implementing new bioinformatics tools and technologies.
- Presenting research findings at scientific conferences and contributing to peer-reviewed publications.
- Mentoring junior bioinformaticians and research staff.
- Ensuring data integrity, reproducibility, and compliance with ethical guidelines.
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3
Senior Bioinformatician - Genomics and Data Analysis
Posted 19 days ago
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Job Description
Our client is a cutting-edge scientific research institution at the forefront of genomics and personalized medicine. We are seeking a highly skilled Senior Bioinformatician to lead complex data analysis projects. This is a fully remote position, offering the opportunity to work with state-of-the-art technologies and contribute to groundbreaking discoveries from your preferred location. You will be responsible for developing and applying computational tools and algorithms to analyze large-scale genomic and transcriptomic datasets. The ideal candidate possesses a strong quantitative background, extensive experience in bioinformatics, and excellent programming skills.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Analyze large genomic, transcriptomic, and proteomic datasets to identify disease markers and therapeutic targets.
- Develop and maintain databases for storing and managing biological data.
- Apply statistical and machine learning methods to interpret complex biological data.
- Collaborate with experimental biologists, clinicians, and other researchers to define research questions and data analysis strategies.
- Develop custom scripts and software tools to automate data analysis workflows.
- Visualize and interpret complex biological data, presenting findings to scientific teams and stakeholders.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Contribute to the writing of research papers, grant proposals, and technical reports.
- Mentor junior bioinformaticians and provide technical guidance.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of relevant research experience in bioinformatics, with a focus on genomics.
- Strong programming skills in languages such as Python, R, and/or Perl.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Proficiency in statistical analysis and machine learning techniques relevant to biological data.
- Experience with cloud computing platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a collaborative, remote team.
- Demonstrated ability to publish research in peer-reviewed journals.
- Experience with data visualization tools.
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4
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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5
Remote Senior Bioinformatician - Genomics Research
Posted 25 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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6
Principal Bioinformatician, Genomics Data Analysis
Posted 3 days ago
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Job Description
Our client is at the forefront of leveraging genomic data to drive breakthroughs in human health and personalized medicine. We are expanding our elite team with a highly skilled Principal Bioinformatician, offering a fully remote work arrangement. This senior role involves the development and implementation of sophisticated computational pipelines for the analysis of large-scale genomic and transcriptomic datasets. You will be a key contributor in identifying novel biomarkers, understanding disease mechanisms, and guiding drug discovery efforts. The ideal candidate possesses a deep expertise in statistical genetics, machine learning, and experience with high-performance computing environments.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and maintain robust bioinformatics pipelines for processing and analyzing next-generation sequencing (NGS) data (WGS, WES, RNA-Seq).
- Apply advanced statistical and machine learning methods to identify genetic variants, disease associations, and regulatory elements.
- Develop and implement algorithms for variant calling, annotation, and interpretation.
- Collaborate closely with wet-lab scientists, clinicians, and data scientists to interpret results and define new research questions.
- Manage and curate large genomic datasets, ensuring data integrity and accessibility in a cloud-based environment.
- Develop custom scripts and tools to automate data analysis workflows and improve efficiency.
- Contribute to the design of genomic studies and experimental strategies.
- Prepare high-quality reports, presentations, and publications for scientific audiences.
- Mentor junior bioinformaticians and research associates.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Contribute to the development of intellectual property and research proposals.
- Troubleshoot complex computational challenges and optimize pipeline performance.
- Lead bioinformatics efforts for specific research projects and initiatives.
- Ensure data security and compliance with relevant regulations.
- Evaluate and integrate new bioinformatics tools and technologies.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 8 years of relevant experience in bioinformatics or computational genomics.
- Demonstrated expertise in analyzing large-scale genomic datasets (e.g., whole-genome sequencing, whole-exome sequencing, RNA-Seq).
- Proficiency in programming languages such as Python, R, and/or Perl.
- Experience with command-line environments (Linux/Unix) and high-performance computing (HPC) clusters.
- Strong knowledge of statistical genetics, population genetics, and machine learning algorithms.
- Familiarity with common bioinformatics databases and tools (e.g., Ensembl, UCSC Genome Browser, GATK, STAR).
- Excellent problem-solving abilities and a strong track record of independent research.
- Superior communication and collaboration skills, essential for a remote team environment.
- Experience in translating biological questions into computational analyses.
- Publications in peer-reviewed journals are highly regarded.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Ability to manage complex projects and mentor team members.
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7
Lead Bioinformatician - Genomics
Posted 3 days ago
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Job Description
Our client is recruiting a highly skilled Lead Bioinformatician to spearhead genomic data analysis within their innovative, fully remote research division. This role is critical for uncovering insights from large-scale genomic datasets to drive advancements in biological understanding and therapeutic development. As a remote-first organization, we are committed to fostering a collaborative environment that leverages cutting-edge digital tools and fosters independent contribution. You will be responsible for developing and implementing robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq. Your expertise will be essential in performing variant calling, annotation, differential gene expression analysis, and pathway analysis. You will also contribute to the design of experiments, ensuring data integrity and the generation of actionable biological insights. The ideal candidate will possess a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genetics, or a related field, with a proven track record in leading bioinformatics projects. Extensive experience with NGS data analysis tools and software (e.g., GATK, STAR, DESeq2) and programming languages like Python and R is mandatory. Familiarity with statistical methods, machine learning applied to biological data, and experience with cloud computing platforms (e.g., AWS, GCP) are highly desirable. You will mentor junior bioinformaticians, collaborate with biologists and clinicians, and present research findings internally and externally. This is an outstanding opportunity for a seasoned bioinformatician to make a significant impact on scientific discovery in a fully remote setting, contributing to critical research projects from **Mlolongo, Machakos, KE**.
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8
Remote Lead Bioinformatician - Genomics
Posted 17 days ago
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Job Description
Our client, a cutting-edge biotechnology research firm, is looking for a talented and experienced Remote Lead Bioinformatician to spearhead their genomics research initiatives. This position is fully remote, offering a unique opportunity to contribute to groundbreaking scientific discoveries from your home office. You will be responsible for the design, development, and implementation of advanced bioinformatics pipelines for the analysis of large-scale genomic and transcriptomic datasets. Your work will involve processing next-generation sequencing (NGS) data, performing comparative genomics, identifying genetic variations, and interpreting complex biological patterns. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field, with a strong track record in analyzing genomic data. Proficiency in programming languages such as Python and R, along with extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, GATK), is crucial. Experience with cloud computing platforms (AWS, Google Cloud, Azure) for handling large datasets is highly desirable. You will lead a team of bioinformaticians, mentor junior researchers, and collaborate closely with molecular biologists, geneticists, and clinicians to translate computational findings into biological insights and potential therapeutic targets. Excellent communication and leadership skills are essential for effectively coordinating remote team efforts and presenting complex results to scientific audiences. If you are passionate about leveraging computational approaches to unravel the complexities of the genome and drive biological discovery in a remote setting, we encourage you to apply.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale genomic and transcriptomic projects.
- Develop, optimize, and maintain robust bioinformatics pipelines for NGS data processing and analysis.
- Perform variant calling, annotation, and interpretation for human and other model organism genomes.
- Conduct comparative genomic analyses to identify evolutionary relationships and functional elements.
- Collaborate with experimental biologists and clinicians to interpret genomic data in the context of biological questions and disease mechanisms.
- Mentor and guide junior bioinformaticians and research staff.
- Contribute to grant writing and manuscript preparation for scientific publications.
- Stay current with the latest advancements in bioinformatics, genomics, and related computational fields.
- Manage project timelines and resources effectively in a remote setting.
- Ensure data integrity, reproducibility, and compliance with best practices in computational biology.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a closely related field.
- Minimum of 5-8 years of experience in bioinformatics research, with a focus on genomics and transcriptomics.
- Proven expertise in programming languages such as Python and R, and their bioinformatics libraries.
- Extensive experience with standard bioinformatics tools and databases (e.g., GATK, Samtools, BEDTools, Ensembl, UCSC Genome Browser).
- Hands-on experience with next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
- Familiarity with cloud computing environments (AWS, GCP, Azure) for bioinformatics analysis.
- Strong understanding of molecular biology, genetics, and statistics.
- Demonstrated leadership experience or strong potential to lead a research team.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote environment.
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