640 Bioinformatics jobs in Kenya
Principal Scientist, Bioinformatics
Posted 23 days ago
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Job Description
Key Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale omics datasets (genomics, transcriptomics, proteomics, etc.).
- Develop novel algorithms, computational tools, and pipelines for biological data analysis and interpretation.
- Collaborate with experimental biologists, clinicians, and other researchers to define research questions and analytical strategies.
- Interpret complex biological data to identify key findings, generate hypotheses, and inform experimental design.
- Manage and mentor a team of bioinformatics scientists and analysts.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and related fields.
- Contribute to the publication of research findings in high-impact scientific journals.
- Ensure the reproducibility and scalability of bioinformatics workflows.
- Manage data integrity, security, and storage for large biological datasets.
- Present research findings at scientific conferences and internal meetings.
- Engage with external collaborators and research institutions.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related quantitative field.
- Minimum of 8 years of post-doctoral or industry experience in bioinformatics research.
- Demonstrated expertise in analyzing large-scale genomic and other omics datasets.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Bash).
- Extensive experience with bioinformatics tools, databases, and software packages.
- Strong understanding of statistical methods, machine learning, and data mining techniques relevant to biological data.
- Experience with cloud computing platforms (AWS, GCP, Azure) for large-scale data analysis is a plus.
- Proven leadership and project management skills.
- Excellent written and verbal communication skills, with the ability to effectively communicate complex scientific concepts to diverse audiences.
- Ability to work independently and collaboratively in a dynamic, remote research environment.
Principal Bioinformatics Scientist
Posted 23 days ago
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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.
Lead Bioinformatics Scientist
Posted 22 days ago
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Principal Bioinformatics Analyst
Posted 2 days ago
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Lead Bioinformatics Analyst
Posted 2 days ago
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Lead Bioinformatics Scientist - Genomics
Posted 23 days ago
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Principal Scientist, Genomics and Bioinformatics
Posted 15 days ago
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Job Description
Key Responsibilities:
- Lead the design and execution of advanced bioinformatics analyses for large-scale genomics projects (e.g., whole-genome sequencing, exome sequencing, RNA-Seq, ChIP-Seq).
- Develop and implement novel computational pipelines and algorithms for data processing, quality control, variant calling, and interpretation.
- Integrate diverse genomic datasets with clinical and phenotypic information to identify disease mechanisms, therapeutic targets, and predictive biomarkers.
- Collaborate closely with molecular biologists, geneticists, and clinicians to define research questions and design experiments.
- Interpret complex genomic data and communicate findings effectively to both scientific and non-scientific audiences through presentations and publications.
- Stay at the forefront of genomic technologies and bioinformatics methodologies, actively exploring new approaches and tools.
- Mentor and guide junior scientists and bioinformaticians, fostering a collaborative and intellectually stimulating research environment.
- Contribute to grant writing, manuscript preparation, and patent applications.
- Manage project timelines, resources, and collaborations effectively in a remote research setting.
- Ensure the rigorous application of statistical methods and data visualization techniques in all analyses.
- Oversee the maintenance and optimization of bioinformatics infrastructure and databases.
- Contribute to the strategic direction of the company's R&D efforts by identifying promising areas for genomic research.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a closely related field.
- Minimum of 10 years of post-doctoral research experience in genomics and bioinformatics, with a strong publication record.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data and experience with various genomic platforms.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, C++).
- Extensive experience with bioinformatics tools, databases (e.g., NCBI, Ensembl), and statistical software.
- Strong understanding of human genetics, molecular biology, and disease mechanisms.
- Proven ability to lead research projects, mentor junior staff, and work effectively in a remote, collaborative team.
- Excellent communication, presentation, and interpersonal skills.
- Experience with cloud computing platforms (e.g., AWS, GCP) for large-scale data analysis is highly desirable.
- Track record of developing and implementing innovative bioinformatic solutions.
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Lead Scientist - Bioinformatics
Posted 18 days ago
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Job Description
Responsibilities:
- Lead the development and implementation of computational and statistical methodologies for analyzing complex biological data.
- Design and execute bioinformatics analyses for genomics, transcriptomics, proteomics, and other omics data.
- Develop and maintain robust bioinformatics pipelines and workflows.
- Collaborate with interdisciplinary research teams to address key scientific questions.
- Interpret analysis results and translate them into biological insights.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Mentor and guide junior bioinformatics staff.
- Present research findings at scientific conferences and in peer-reviewed publications.
- Stay current with emerging technologies and methodologies in bioinformatics and related fields.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of experience in bioinformatics research, with a strong publication record.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Extensive experience with bioinformatics tools, algorithms, and databases (e.g., BLAST, SAMtools, GATK, Ensembl).
- Experience with statistical analysis and machine learning methods applied to biological data.
- Familiarity with high-performance computing clusters and cloud computing environments.
- Strong understanding of molecular biology and genetics.
- Excellent problem-solving, analytical, and communication skills.
- Proven ability to lead research projects and mentor junior scientists in a remote setting.
Lead Bioinformatics Scientist
Posted today
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced bioinformatics pipelines and algorithms.
- Analyze large-scale genomic, transcriptomic, proteomic, and other biological datasets.
- Develop and apply statistical and machine learning methods for data analysis.
- Collaborate with biologists and clinicians to interpret research findings and generate hypotheses.
- Manage and curate biological databases and knowledge bases.
- Contribute to experimental design and data generation strategies.
- Mentor and supervise junior bioinformatics scientists and research assistants.
- Publish research findings in peer-reviewed scientific journals and present at conferences.
- Ensure data integrity, reproducibility, and adherence to best practices in computational biology.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Contribute to grant writing and securing research funding.
- Develop and maintain computational infrastructure for research projects.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of postdoctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing diverse omics data (e.g., next-generation sequencing data).
- Strong programming skills in Python, R, Perl, or similar languages.
- Deep understanding of statistical modeling, machine learning, and data mining techniques.
- Experience with high-performance computing (HPC) clusters and cloud computing platforms.
- Familiarity with various bioinformatics databases and software tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong written and verbal communication skills for scientific reporting and collaboration.
- Ability to work independently and lead research projects in a remote setting.
- A strong publication record in reputable scientific journals.
Senior Bioinformatics Scientist
Posted 23 days ago
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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 .
Bioinformatics jobs are experiencing growth, presenting opportunities for skilled professionals. These roles involve analyzing biological data using computational tools and techniques. Professionals in this field work to interpret complex information, contributing to advancements in medicine, agriculture, and environmental science. The demand for