2,273 Principal Research Scientist Bioinformatics jobs in Kenya
Principal Scientist - Bioinformatics & Computational Biology
Posted 16 days ago
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Job Description
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 19 days ago
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Job Description
Principal Scientist - Bioinformatics
Posted 16 days ago
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Job Description
Responsibilities:
- Lead and execute advanced bioinformatics research projects using cutting-edge computational methods.
- Develop and implement novel algorithms and pipelines for analyzing complex biological data (genomics, transcriptomics, proteomics, etc.).
- Analyze large-scale datasets to identify biological patterns, generate hypotheses, and drive scientific discovery.
- Collaborate closely with experimental biologists and clinicians to design experiments and interpret results.
- Mentor and guide junior scientists and research staff in bioinformatics techniques.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and related fields.
- Contribute to grant writing and secure research funding.
- Present research findings at international conferences and publish in high-impact scientific journals.
- Manage computational resources and ensure data integrity and security.
- Develop and maintain collaborations with external research partners.
Qualifications:
- Ph.D. in Bioinformatics, Computer Science, Computational Biology, Statistics, or a related quantitative field.
- Minimum of 10 years of post-doctoral research experience in bioinformatics or computational biology.
- Extensive experience with programming languages (e.g., Python, R, Perl) and bioinformatics tools/databases.
- Proven track record of leading complex bioinformatics projects and a strong publication record in peer-reviewed journals.
- Expertise in statistical analysis and machine learning techniques applied to biological data.
- Deep understanding of molecular biology, genomics, and related life sciences.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership, communication, and mentoring abilities.
- Ability to work effectively and collaboratively in a remote research environment.
- Experience with high-performance computing environments.
Principal Scientist - Bioinformatics & Genomics
Posted 21 days ago
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Job Description
Responsibilities:
- Lead and conduct advanced bioinformatics analyses on large-scale genomic and transcriptomic datasets.
- Develop, implement, and optimize novel computational pipelines and algorithms.
- Interpret complex biological data to derive actionable insights and drive research hypotheses.
- Collaborate with experimental biologists and clinicians to design and analyze research studies.
- Supervise and mentor junior bioinformaticians and research staff.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Contribute to the writing of research grants and the preparation of scientific publications.
- Present research findings at national and international conferences.
- Manage bioinformatics projects, ensuring timely delivery and high-quality results.
- Evaluate and integrate new technologies and software tools into existing workflows.
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in bioinformatics and genomics.
- Demonstrated expertise in programming languages such as Python, R, Perl, or C++.
- Extensive experience with bioinformatics tools and databases (e.g., NCBI, Ensembl, IGV).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing clusters.
- Excellent publication record in high-impact scientific journals.
- Proven ability to lead research projects and mentor junior scientists.
- Strong communication and presentation skills, essential for effective remote collaboration.
- Familiarity with various sequencing technologies and their data formats.
Principal Scientist, Genomics & Bioinformatics
Posted 13 days ago
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Job Description
Responsibilities:
- Lead the design and execution of advanced genomics research projects, utilizing next-generation sequencing (NGS) technologies.
- Develop and implement novel bioinformatics pipelines and algorithms for analyzing large-scale genomic datasets (e.g., whole-genome, exome, RNA-Seq).
- Interpret complex genomic data to identify key biological insights, biomarkers, and therapeutic targets.
- Collaborate with cross-functional teams of biologists, clinicians, and computational scientists to advance research objectives.
- Stay at the forefront of scientific literature and technological advancements in genomics, bioinformatics, and related fields.
- Mentor and guide junior scientists and research staff, fostering a collaborative and innovative research environment.
- Oversee data quality control, management, and storage, ensuring integrity and reproducibility of results.
- Present research findings at national and international conferences and publish in high-impact peer-reviewed journals.
- Contribute to the development of grant proposals and secure external funding for research initiatives.
- Develop and maintain effective relationships with academic and industry collaborators.
- Ensure adherence to ethical guidelines and regulatory requirements in research practices.
- Contribute to the strategic planning and direction of the genomics and bioinformatics research program.
- Ph.D. in Genomics, Bioinformatics, Computational Biology, Molecular Biology, or a related quantitative field.
- Minimum of 8-10 years of post-doctoral research experience in genomics and bioinformatics, with a strong publication record.
- Extensive experience with various NGS technologies and data analysis platforms.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with shell scripting.
- Deep understanding of statistical methods, machine learning algorithms, and their application to biological data.
- Experience with reference genome assemblies, variant calling, gene expression analysis, and epigenomics.
- Proven ability to lead research projects, manage teams, and mentor junior scientists.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex scientific concepts clearly and concisely.
- Demonstrated success in grant writing and securing funding is highly desirable.
- Ability to thrive in a fully remote, collaborative research setting, demonstrating strong organizational skills and self-motivation.
- Familiarity with cloud computing platforms for large-scale data analysis is a plus.
Remote Principal Scientist - Bioinformatics
Posted 20 days ago
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Job Description
Principal Scientist - Bioinformatics (Remote)
Posted 18 days ago
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Job Description
Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale omics datasets (genomics, transcriptomics, proteomics).
- Develop and implement novel computational methods and algorithms for biological data analysis.
- Collaborate with molecular biologists, geneticists, and other researchers to interpret experimental results.
- Manage and curate biological databases and knowledge resources.
- Supervise and mentor junior bioinformatics scientists and research staff.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and related fields.
- Contribute to grant writing and the generation of research proposals.
- Present research findings at scientific conferences and in peer-reviewed publications.
- Ensure the quality, integrity, and reproducibility of bioinformatics analyses.
- Develop and maintain computational pipelines and workflows.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8-10 years of post-doctoral research experience in bioinformatics, with a focus on complex biological data analysis.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Extensive experience with bioinformatics databases, tools, and software packages.
- Strong understanding of statistical methods and machine learning applications in biology.
- Proven track record of scientific publications in high-impact journals.
- Excellent communication, presentation, and leadership skills.
- Ability to lead research projects and work effectively in a fully remote, international team.
- Experience with high-performance computing (HPC) environments is a plus.
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Remote Principal Scientist, Bioinformatics & Genomics
Posted 18 days ago
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Job Description
Key Responsibilities:
- Design and lead research projects in genomics and bioinformatics.
- Develop and implement advanced computational and statistical methods for analyzing large-scale biological data (NGS, transcriptomics, proteomics, etc.).
- Oversee data processing, quality control, and interpretation pipelines.
- Collaborate with biologists and other scientists to define research questions and experimental designs.
- Identify and validate novel biomarkers and therapeutic targets.
- Stay current with scientific literature and emerging technologies in genomics and bioinformatics.
- Mentor and guide junior scientists and research staff.
- Present research findings at scientific conferences and in peer-reviewed publications.
- Contribute to the development of research strategies and grant proposals.
- Ensure data integrity and reproducibility of analyses.
- Manage collaborations with external research institutions and partners.
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related field.
- Minimum of 10 years of post-doctoral research experience in bioinformatics and genomics.
- Proven track record of independent research, evidenced by high-impact publications and successful project leadership.
- Extensive experience with NGS data analysis, including WGS, WES, RNA-Seq.
- Strong proficiency in programming languages (e.g., Python, R) and experience with bioinformatics tools and pipelines.
- Deep understanding of molecular biology, genetics, and relevant biological pathways.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication, presentation, and interpersonal skills.
- Demonstrated ability to lead research teams and manage complex projects in a remote setting.
Senior Principal Scientist (Genomics & Bioinformatics)
Posted 6 days ago
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Job Description
Responsibilities:
- Lead and direct cutting-edge research projects in genomics and bioinformatics.
- Design and implement genomic studies using various next-generation sequencing (NGS) technologies.
- Develop and optimize bioinformatics pipelines for analyzing large-scale genomic datasets.
- Apply advanced statistical and computational methods to interpret genomic data and derive biological insights.
- Collaborate with experimental biologists and clinicians to translate genomic findings into actionable insights.
- Mentor and guide junior scientists and research staff.
- Author high-quality scientific publications and present research findings at international conferences.
- Contribute to grant writing and secure external funding for research initiatives.
- Evaluate and implement novel genomic technologies and analytical approaches.
- Manage research budgets and project timelines effectively.
- Ph.D. in Genetics, Bioinformatics, Computational Biology, or a related field.
- 10+ years of experience in genomics research and bioinformatics analysis.
- Demonstrated expertise in NGS data analysis and associated software tools.
- Proficiency in scripting languages such as Python, R, and Perl.
- Extensive experience with statistical modeling and machine learning techniques.
- Strong publication record in peer-reviewed journals.
- Proven experience in leading research teams and mentoring junior scientists.
- Excellent communication, presentation, and collaboration skills.
- Ability to work independently and thrive in a remote research environment.
- Experience with population genetics, single-cell genomics, or epigenomics is a plus.
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.