2,275 Research Scientist Bioinformatics jobs in Kenya
Principal Scientist - Bioinformatics & Computational Biology
Posted 16 days ago
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This is a remote-first opportunity, demanding exceptional scientific rigor, strong analytical and problem-solving skills, and advanced communication abilities to effectively collaborate with researchers globally. You will lead the development and application of computational pipelines for large-scale genomics, proteomics, or other omics data. Responsibilities include managing research projects, mentoring junior scientists, presenting research findings at conferences, and staying at the forefront of technological advancements in the field. The successful candidate will contribute to groundbreaking research that may have implications for health, agriculture, or environmental science, with a particular focus on applications relevant to research initiatives connected to the **Machakos, Machakos, KE** region. A strong publication record and a history of securing research funding are highly desirable.
Key Responsibilities:
- Lead and conduct research projects in bioinformatics and computational biology.
- Develop and implement novel computational algorithms and pipelines.
- Analyze large-scale biological datasets (e.g., genomics, transcriptomics, proteomics).
- Interpret research findings and contribute to scientific publications.
- Collaborate with experimental biologists and other researchers.
- Mentor and guide junior scientists and research staff.
- Write and secure research grants.
- Stay abreast of the latest advancements in bioinformatics and related fields.
- Present research findings at scientific conferences and meetings.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in a relevant field.
- Demonstrated expertise in bioinformatics tools, databases, and analysis methodologies.
- Proficiency in programming languages such as Python, R, and Perl.
- Strong understanding of statistical methods and machine learning techniques.
- Proven track record of publications in high-impact journals.
- Experience in grant writing and securing research funding.
- Excellent communication, leadership, and problem-solving skills for remote collaboration.
Principal Scientist - Bioinformatics and Computational Biology
Posted 18 days ago
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Remote Lead Scientist - Bioinformatics and Computational Biology
Posted 18 days ago
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Senior Bioinformatics Scientist - Computational Biology
Posted 5 days ago
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Responsibilities:
- Develop and implement computational pipelines for analyzing large-scale biological datasets (genomics, transcriptomics, proteomics).
- Design and execute bioinformatics analyses to support research projects.
- Apply statistical methods and machine learning algorithms for biological discovery.
- Interpret complex biological data and generate actionable insights.
- Collaborate with experimental biologists to define research questions and strategies.
- Contribute to the writing and publication of scientific manuscripts.
- Present research findings at scientific conferences and internal meetings.
- Optimize bioinformatics workflows for efficiency and scalability.
- Maintain and manage research data integrity and documentation.
- Stay abreast of the latest advancements in bioinformatics and computational biology.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-graduate experience in bioinformatics or computational biology.
- Extensive experience with next-generation sequencing (NGS) data analysis.
- Proficiency in programming languages such as Python, R, and Bash.
- Strong knowledge of statistical methods and machine learning techniques.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
- Familiarity with version control systems (e.g., Git).
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage projects effectively in a remote setting.
Research Scientist - Bioinformatics
Posted 20 days ago
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Key Responsibilities:
- Analyze diverse biological datasets, including genomics, transcriptomics, proteomics, and metabolomics data.
- Develop, implement, and validate bioinformatics pipelines and algorithms for data analysis.
- Utilize statistical methods and machine learning techniques to identify patterns and derive biological insights.
- Collaborate closely with experimental scientists to design studies, interpret results, and contribute to manuscript preparation.
- Contribute to the development of new research hypotheses and experimental strategies.
- Manage and organize large biological datasets, ensuring data integrity and reproducibility.
- Develop custom scripts and software tools to support research needs.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Present research findings at scientific meetings and contribute to publications in peer-reviewed journals.
- Participate in grant writing efforts to secure funding for research projects.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 4-6 years of relevant research experience in bioinformatics or computational biology.
- Proficiency in programming languages such as Python and R, with experience in relevant libraries (e.g., Biopython, NumPy, SciPy, ggplot2).
- Experience with next-generation sequencing (NGS) data analysis.
- Solid understanding of statistical methods and machine learning algorithms.
- Familiarity with Unix/Linux operating systems and command-line tools.
- Experience with database management and query languages (e.g., SQL).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a remote team environment.
Principal Research Scientist - Bioinformatics
Posted 20 days ago
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Job Description
Responsibilities:
- Lead the development and implementation of advanced bioinformatics pipelines.
- Design and execute computational analyses of large-scale biological datasets (genomics, transcriptomics, proteomics).
- Develop novel algorithms and statistical methods for data interpretation.
- Collaborate with research teams to define experimental designs and data analysis strategies.
- Mentor and guide junior bioinformaticians and computational biologists.
- Present research findings to internal teams and at scientific conferences.
- Contribute to research strategy and grant proposals.
- Stay current with the latest advancements in bioinformatics and related computational fields.
- Ensure the quality, integrity, and reproducibility of data analysis.
- Manage collaborations with external research partners.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- 10+ years of experience in bioinformatics research.
- Extensive experience with genomic and transcriptomic data analysis.
- Proficiency in programming languages such as Python, R, or Perl.
- Strong knowledge of statistical modeling, machine learning, and data mining techniques.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing clusters.
- Excellent understanding of biological pathways and molecular biology.
- Proven track record of scientific publications in peer-reviewed journals.
- Strong leadership and mentoring abilities.
- Excellent communication and interpersonal skills for remote collaboration.
Lead Research Scientist - Bioinformatics
Posted 20 days ago
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Responsibilities:
- Lead and conduct advanced bioinformatics analysis of large-scale genomic, transcriptomic, and proteomic datasets.
- Develop and implement novel computational methods and algorithms for biological data interpretation.
- Collaborate closely with interdisciplinary research teams, including biologists, geneticists, and clinicians, to design experiments and interpret results.
- Manage and mentor a team of junior bioinformaticians and data analysts.
- Oversee the integration and management of diverse biological databases and data pipelines.
- Ensure the accuracy, reproducibility, and scalability of bioinformatics workflows.
- Present research findings at scientific conferences and publish in peer-reviewed journals.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Contribute to grant writing and the acquisition of research funding.
- Maintain a high standard of scientific rigor and ethical conduct in all research activities.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in bioinformatics or computational biology.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Proficiency in programming languages such as Python, R, and/or Perl.
- Experience with common bioinformatics tools and pipelines (e.g., GATK, STAR, Samtools, DESeq2).
- Strong understanding of statistical modeling and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, GCP) and containerization (e.g., Docker).
- Proven ability to manage research projects and lead a team effectively.
- Excellent written and verbal communication skills, with a strong publication record.
- Experience in a remote research setting is a significant advantage.
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Junior Research Scientist - Bioinformatics
Posted 20 days ago
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Lead Research Scientist - Bioinformatics and Genomics
Posted 4 days ago
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Responsibilities:
- Lead the design, execution, and interpretation of large-scale genomics, transcriptomics, and epigenomics studies.
- Develop, optimize, and implement novel bioinformatics pipelines and algorithms for next-generation sequencing data analysis.
- Collaborate with experimental biologists and clinicians to define research questions and design appropriate computational strategies.
- Analyze and interpret complex biological data, identifying key insights and deriving testable hypotheses.
- Present research findings at internal meetings, scientific conferences, and through peer-reviewed publications.
- Mentor and guide junior scientists and research associates in bioinformatics and data analysis.
- Contribute to grant proposals and secure funding for research projects.
- Stay current with the latest advancements in bioinformatics, genomics, machine learning, and related computational biology fields.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
- Manage multiple research projects concurrently, ensuring timely delivery of results.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related quantitative field.
- A minimum of 8 years of post-doctoral research experience in bioinformatics or computational genomics.
- Demonstrated expertise in analyzing diverse omics data (e.g., WGS, WES, RNA-seq, ChIP-seq).
- Proficiency in programming languages such as Python, R, and scripting languages (e.g., Bash).
- Strong experience with bioinformatics tools, databases, and software packages (e.g., GATK, STAR, DESeq2, etc.).
- Experience with high-performance computing (HPC) environments and cloud computing platforms (AWS, GCP).
- Excellent understanding of statistical principles and machine learning techniques applicable to biological data.
- Proven track record of scientific publications in reputable journals.
- Exceptional communication, presentation, and interpersonal skills, with the ability to thrive in a remote, collaborative setting.
- Strong leadership and project management capabilities.
Lead Research Scientist - Bioinformatics & Genomics
Posted 17 days ago
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Job Description
Key Responsibilities:
- Lead the design and execution of bioinformatics and genomics research projects.
- Develop and optimize computational pipelines for analyzing large-scale omics data.
- Apply statistical methods and machine learning techniques to biological data.
- Interpret complex genomic data to identify patterns, biomarkers, and novel insights.
- Supervise and mentor a team of bioinformaticians and research assistants.
- Collaborate with experimental biologists, clinicians, and other researchers to integrate findings.
- Develop and validate new algorithms and analytical tools.
- Manage research infrastructure, including databases and high-performance computing resources.
- Contribute to grant writing and secure research funding.
- Disseminate research findings through publications and presentations at scientific conferences.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Statistics, or a related field.
- Minimum of 7 years of post-doctoral or industry research experience in bioinformatics and genomics.
- Demonstrated experience in leading research teams and managing complex projects.
- Strong publication record in peer-reviewed journals.
- Expertise in analyzing various types of genomic data (e.g., WGS, WES, RNA-seq, ChIP-seq).
- Proficiency in programming languages such as Python, R, and scripting languages (e.g., Bash).
- Experience with high-performance computing (HPC) environments and cloud computing platforms.
- Solid understanding of molecular biology, genetics, and statistical principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional written and verbal communication skills.
- Ability to work independently and lead effectively in a remote research environment.