2,162 Bioinformatics Scientist jobs in Kenya
Bioinformatics Research Scientist
Posted 24 days ago
Job Viewed
Job Description
Lead Bioinformatics Scientist - Genomics Research
Posted 13 days ago
Job Viewed
Job Description
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.
Senior Bioinformatics Scientist - Genomics Research
Posted 10 days ago
Job Viewed
Job Description
Principal Bioinformatics Scientist
Posted 22 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design and execution of large-scale genomic and transcriptomic data analyses to identify novel therapeutic targets and biomarkers.
- Develop and implement sophisticated bioinformatics pipelines and algorithms for high-throughput sequencing data.
- Collaborate closely with bench scientists and clinicians to interpret experimental results and guide future research directions.
- Mentor and guide a team of bioinformatics researchers, fostering a culture of innovation and scientific rigor.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological fields, integrating new approaches into research projects.
- Manage data integrity, storage, and access for critical research datasets, ensuring compliance with ethical and regulatory standards.
- Present research findings at international conferences and publish results in high-impact peer-reviewed journals.
- Contribute to grant writing and secure external funding for research projects.
- Engage in cross-functional teams to translate research findings into potential clinical applications.
- Maintain and enhance computational infrastructure and software resources utilized by the bioinformatics team.
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, with extensive post-doctoral or industry experience. Demonstrated expertise in programming languages (e.g., Python, R, Perl), database management, and cloud computing platforms is crucial. A deep understanding of molecular biology, genetics, and disease mechanisms is highly desirable. This position is critical for advancing our client's understanding of complex biological systems and will involve extensive remote collaboration, impacting research endeavors focused on challenges in Nairobi, Nairobi, KE and beyond.
Senior Bioinformatics Research Scientist
Posted 14 days ago
Job Viewed
Job Description
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.
Remote Bioinformatics Research Scientist
Posted 24 days ago
Job Viewed
Job Description
Lead Bioinformatics Scientist
Posted 22 days ago
Job Viewed
Job Description
Be The First To Know
About the latest Bioinformatics scientist Jobs in Kenya !
Lead Bioinformatics Scientist - Genomics
Posted 22 days ago
Job Viewed
Job Description
Senior Bioinformatics Scientist
Posted 22 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and implement computational pipelines for the analysis of large-scale biological datasets, including next-generation sequencing (NGS) data.
- Develop and apply statistical and machine learning methods to identify patterns, correlations, and biological insights from omics data.
- Collaborate with experimental biologists, geneticists, and clinicians to define research questions and design appropriate bioinformatics analyses.
- Develop and maintain robust, reproducible, and well-documented code and workflows.
- Interpret and communicate complex bioinformatics results to both technical and non-technical audiences.
- Contribute to the development of new algorithms, software tools, and databases for biological data analysis.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Mentor junior bioinformaticians and provide technical guidance.
- Manage and organize large datasets, ensuring data integrity and accessibility.
- Contribute to grant writing and manuscript preparation for publications in peer-reviewed journals.
Qualifications and Experience:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- A minimum of 5 years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing genomic, transcriptomic, proteomic, or other omics data.
- Strong programming skills in languages such as Python, R, or Perl, and experience with relevant bioinformatics libraries and packages.
- Proficiency with command-line interfaces and experience working in high-performance computing (HPC) environments.
- Familiarity with various biological databases (e.g., NCBI, Ensembl, UniProt) and data formats.
- Knowledge of statistical methods and machine learning algorithms applied to biological data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Demonstrated ability to manage research projects and contribute to scientific publications.
- This is a fully remote position, with the administrative location being Kakamega, Kakamega, KE .
Remote Bioinformatics Scientist
Posted 24 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop and apply computational and statistical methods for analyzing biological data (genomics, transcriptomics, proteomics, etc.).
- Design and implement bioinformatics pipelines and algorithms.
- Manage, curate, and analyze large-scale biological datasets.
- Interpret experimental results and provide actionable scientific insights.
- Collaborate with experimental biologists and other researchers on project design and execution.
- Stay abreast of the latest advancements in bioinformatics and computational biology.
- Contribute to scientific publications and presentations.
- Ensure the integrity and quality of data analysis performed in a remote environment.
- Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Demonstrated experience in analyzing large biological datasets using bioinformatics tools and approaches.
- Proficiency in programming languages such as Python, R, or Perl.
- Familiarity with common bioinformatics databases (e.g., NCBI, Ensembl) and software packages.
- Strong understanding of statistical principles and their application in biological data analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective written and verbal communication skills for remote collaboration and reporting.
- Proven ability to work independently and manage research projects in a remote setting.