What Jobs are available for Senior Bioinformatician in Kenya?
Showing 538 Senior Bioinformatician jobs in Kenya
Senior Bioinformatician
Posted 25 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Bioinformatician to join their pioneering remote research and development team. This role is integral to our client's mission of advancing scientific understanding through cutting-edge computational biology. As a Senior Bioinformatician, you will be responsible for the design, development, and implementation of bioinformatics pipelines and tools to analyze large-scale genomic, transcriptomic, and proteomic datasets. You will collaborate closely with molecular biologists, geneticists, and data scientists to interpret complex biological data, identify novel biomarkers, and contribute to the development of innovative solutions.
Key responsibilities include:
Key responsibilities include:
- Leading the development and optimization of scalable bioinformatics workflows using Python, R, and relevant bioinformatics libraries.
- Analyzing next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-Seq data, for variant calling, gene expression analysis, and functional annotation.
- Implementing machine learning algorithms for predictive modeling and biological discovery.
- Developing and maintaining robust data management strategies for high-throughput biological data.
- Mentoring junior bioinformaticians and providing technical guidance.
- Communicating research findings effectively to both technical and non-technical audiences through presentations and reports.
- Staying abreast of the latest advancements in bioinformatics, genomics, and computational biology.
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Senior Bioinformatician - Genomics
Posted 5 days ago
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Job Description
Our client is seeking an experienced Senior Bioinformatician specializing in genomics to join their pioneering, fully remote research and development team. This position is critical for advancing our understanding of complex biological systems through the analysis of large-scale genomic datasets. You will be responsible for designing and implementing computational pipelines for next-generation sequencing (NGS) data analysis, including variant calling, gene expression analysis, and genome assembly. The role requires a deep understanding of bioinformatics algorithms, statistical methods, and biological pathways. You will collaborate with biologists, geneticists, and other researchers to interpret genomic data and translate findings into actionable insights for drug discovery and therapeutic development. Expertise in scripting languages such as Python or Perl, along with experience in R and SQL, is essential. Familiarity with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Singularity) is highly advantageous. This role offers the exciting opportunity to contribute to groundbreaking scientific research in a flexible, remote-first setting. The ideal candidate will be a proactive problem-solver with excellent analytical and communication skills, capable of working independently and contributing to a collaborative virtual environment. You will also be involved in developing and maintaining databases for storing and querying genomic information. This position is ideal for a motivated scientist passionate about leveraging computational approaches to solve complex biological questions. The successful candidate will be based in the vicinity of Bungoma, Bungoma, KE but will work entirely remotely.
Key Qualifications:
Key Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field.
- Minimum of 5 years of hands-on experience in analyzing genomic data (NGS).
- Proficiency in scripting languages like Python, Perl, or Bash.
- Strong experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Knowledge of statistical methods and machine learning applied to biological data.
- Experience with cloud computing environments and containerization.
- Excellent problem-solving and critical thinking skills.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong communication and collaboration skills for interdisciplinary teams.
- Experience with gene expression analysis, variant calling, and genome assembly.
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Senior Bioinformatician (Remote)
Posted 18 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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2
Remote Senior Bioinformatician
Posted 8 days ago
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Job Description
Our client is actively seeking a highly accomplished Senior Bioinformatician to join their cutting-edge, entirely remote research and development team. This is an exceptional opportunity for an experienced professional to contribute significantly to groundbreaking scientific discoveries from the comfort of their home office. You will be responsible for the analysis and interpretation of large-scale genomic, proteomic, and other high-throughput biological data. Your core duties will involve designing and implementing bioinformatics pipelines, developing novel algorithms and computational tools, and performing statistical analysis to extract meaningful biological insights. You will collaborate closely with molecular biologists, geneticists, and other researchers to address complex biological questions and advance research objectives. Expertise in scripting languages, familiarity with biological databases, and a strong understanding of statistical modeling are essential. The ideal candidate possesses exceptional problem-solving skills, a meticulous approach to data analysis, and the ability to thrive in a collaborative, virtual research environment. You will play a crucial role in driving research initiatives forward through sophisticated data analysis and interpretation. Excellent written and verbal communication skills are vital for disseminating research findings and collaborating effectively with a globally distributed team.
Responsibilities:
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of large-scale biological datasets (e.g., next-generation sequencing data).
- Perform complex data analysis, including variant calling, gene expression analysis, pathway analysis, and comparative genomics.
- Develop and apply statistical methods and machine learning techniques to biological data.
- Create and maintain databases and computational tools to support research efforts.
- Collaborate closely with experimental biologists, geneticists, and clinicians to interpret data and guide research directions.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Present research findings at scientific meetings and publish results in peer-reviewed journals.
- Contribute to grant writing and funding proposals.
- Ensure data integrity, reproducibility, and proper documentation of all analyses and methodologies.
- Mentor junior bioinformaticians and research staff.
- Troubleshoot and resolve computational challenges encountered during data analysis.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics research and development, with a proven track record of impactful contributions.
- Strong proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Extensive experience with standard bioinformatics tools and software packages (e.g., BLAST, GATK, SAMtools).
- Deep understanding of biological databases (e.g., NCBI, Ensembl, UniProt) and data formats.
- Solid knowledge of statistical modeling, machine learning algorithms, and experimental design.
- Experience with high-performance computing environments and cloud platforms (e.g., AWS, Google Cloud).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to clearly present complex scientific findings.
- Proven ability to work independently and collaboratively in a remote research setting.
- Experience with developing web-based tools or interactive data visualization is a plus.
- Publications in reputable scientific journals are highly desirable.
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3
Senior Bioinformatician - Computational Biology
Posted 16 days ago
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Job Description
Our client, a dynamic research institution at the forefront of biological discovery, is seeking a talented Senior Bioinformatician specializing in Computational Biology to join their fully remote scientific team. This role is essential for analyzing and interpreting complex biological datasets generated from high-throughput experiments, including genomics, transcriptomics, proteomics, and metabolomics. You will be responsible for developing and implementing sophisticated computational pipelines, algorithms, and statistical methods to extract meaningful insights from large-scale biological data. This includes designing experiments, managing data integrity, performing rigorous statistical analysis, and visualizing results to support research objectives. The ideal candidate will have a strong understanding of molecular biology and genetics, coupled with advanced programming skills in languages such as Python, R, and possibly Perl or Java. Expertise in bioinformatics databases, sequence analysis tools, machine learning techniques, and statistical modeling is crucial. You will collaborate closely with bench scientists, clinicians, and other bioinformaticians to address complex biological questions and drive research forward. This role requires excellent communication skills to effectively present complex findings to both technical and non-technical audiences. As a fully remote team member, you will utilize advanced collaboration platforms and version control systems (e.g., Git) to manage projects and share code efficiently. The ability to work independently, manage multiple projects, and adapt to evolving research needs is paramount. This is an exceptional opportunity to contribute to groundbreaking research in areas such as disease mechanisms, drug discovery, and personalized medicine.
Responsibilities:
Responsibilities:
- Develop and implement computational pipelines for analyzing large-scale biological datasets (genomics, transcriptomics, etc.).
- Perform statistical analysis and machine learning to identify patterns and insights.
- Design and manage bioinformatics databases and workflows.
- Collaborate with biologists and researchers to define research questions and data analysis strategies.
- Visualize complex biological data and present findings clearly.
- Write high-quality code and documentation for bioinformatics tools and scripts.
- Stay current with the latest advancements in bioinformatics, computational biology, and related fields.
- Contribute to manuscript preparation and grant writing.
- Ensure data integrity, reproducibility, and adherence to best practices.
- Mentor junior bioinformaticians and research staff.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics analysis and computational biology research.
- Proficiency in programming languages such as Python and R for data analysis and tool development.
- Strong experience with bioinformatics databases, sequence analysis tools, and statistical methods.
- Familiarity with machine learning algorithms and their application in biology.
- Experience with data visualization tools and techniques.
- Excellent understanding of molecular biology, genetics, and genomics.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote research environment.
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4
Senior Bioinformatician & Computational Biologist
Posted 10 days ago
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Job Description
Our client, a cutting-edge biotechnology firm at the forefront of genomic research and personalized medicine, is seeking a highly accomplished Senior Bioinformatician & Computational Biologist to join their entirely remote R&D team. This role is integral to deciphering complex biological datasets, developing advanced analytical pipelines, and driving impactful discoveries in genomics, transcriptomics, and proteomics. You will work with large-scale datasets from next-generation sequencing (NGS) platforms, contributing to groundbreaking research that aims to transform healthcare. The ideal candidate possesses a deep theoretical understanding of biological systems combined with advanced computational skills and a passion for scientific exploration.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for analyzing diverse high-throughput genomic and transcriptomic data (e.g., RNA-Seq, WGS, WES, ChIP-Seq).
- Perform in-depth data analysis, statistical modeling, and interpretation of complex biological datasets to identify key biological insights, biomarkers, and therapeutic targets.
- Develop and maintain databases for biological data storage, management, and retrieval.
- Collaborate with experimental biologists, geneticists, and clinicians to define research questions, design experiments, and interpret results.
- Develop and apply machine learning algorithms and statistical methods for predictive modeling and pattern recognition in biological data.
- Create clear and concise visualizations of complex data to communicate findings to both technical and non-technical audiences.
- Stay current with the latest advancements in bioinformatics, computational biology, genomics, and relevant technologies.
- Contribute to scientific publications, grant proposals, and presentations.
- Develop and maintain software tools and scripts to automate data analysis workflows.
- Provide computational support and expertise to research teams across the organization.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics and computational biology, with a focus on analyzing large-scale omics data.
- Proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, and Bash.
- Extensive experience with NGS data analysis tools and platforms (e.g., GATK, STAR, HISAT2, DESeq2, edgeR).
- Strong understanding of molecular biology, genetics, and genomics principles.
- Experience with statistical analysis, machine learning techniques, and data visualization.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, interdisciplinary team.
- Track record of scientific contributions, such as publications in peer-reviewed journals.
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5
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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6
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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7
Senior Bioinformatician - Genomics Research
Posted 13 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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8
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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