321 Principal Bioinformatics Scientist Remote jobs in Kenya
Principal Bioinformatics Scientist (Remote)
Posted 24 days ago
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Principal Scientist - Bioinformatics (Remote)
Posted 22 days ago
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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.
Principal Research Scientist - Bioinformatics (Remote)
Posted 24 days ago
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Key Responsibilities:
- Lead and conduct cutting-edge research in bioinformatics and computational biology.
- Design, develop, and optimize complex bioinformatic pipelines for various data types (genomics, transcriptomics, proteomics, etc.).
- Develop novel computational algorithms and statistical methods for biological data analysis.
- Analyze and interpret large-scale biological datasets to extract meaningful insights and identify patterns.
- Collaborate closely with experimental biologists, clinicians, and other stakeholders to define research questions and guide experimental design.
- Develop predictive models and tools to advance understanding of biological systems.
- Stay abreast of the latest advancements in bioinformatics tools, databases, and methodologies.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Mentor junior bioinformaticians and computational biologists within the team.
- Contribute to grant writing and secure external funding for research projects.
- Ensure data integrity, reproducibility, and best practices in computational workflows.
- Evaluate and implement new technologies and software relevant to bioinformatics research.
- Contribute to the strategic direction of the bioinformatics group.
- Effectively communicate complex scientific findings to diverse audiences.
- Work within a fully remote, highly collaborative research environment.
Principal Research Scientist - Genomics & Bioinformatics (Remote)
Posted 23 days ago
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Remote Principal Scientist - Bioinformatics
Posted 23 days ago
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Job Description
Key Responsibilities:
- Lead and execute complex bioinformatics research projects.
- Develop and optimize novel computational algorithms and pipelines.
- Analyze and interpret large-scale omics datasets (genomics, transcriptomics, etc.).
- Collaborate with interdisciplinary research teams.
- Mentor junior scientists and contribute to team development.
- Contribute to grant proposals and scientific publications.
- Stay abreast of the latest advancements in bioinformatics and computational biology.
- Present research findings at scientific conferences and meetings.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, or a related quantitative field.
- Extensive experience in programming (Python, R, shell).
- Proficiency with bioinformatics tools and databases.
- Strong publication record and proven research capabilities.
- Experience with machine learning and statistical modeling.
- Excellent communication and presentation skills.
- Demonstrated ability to manage research projects independently.
Remote Principal Scientist, Bioinformatics & Genomics
Posted 22 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.
Principal Bioinformatics Scientist
Posted 22 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.
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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 Scientist - Bioinformatics & Genomics
Posted 13 days ago
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Job Description
Responsibilities:
- Lead the development and application of advanced bioinformatics and computational genomics methodologies.
- Analyze and interpret large-scale genomic and transcriptomic datasets from various platforms (e.g., NGS).
- Develop and implement novel algorithms and statistical models for biological data analysis.
- Collaborate with experimental biologists and clinicians to design studies and interpret results.
- Manage and curate complex biological databases and computational pipelines.
- Mentor and guide junior scientists and research staff in bioinformatics techniques.
- Publish research findings in peer-reviewed journals and present at international conferences.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Contribute to grant writing and securing research funding.
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Statistics, or a related field.
- Minimum of 10 years of post-doctoral research experience in bioinformatics and genomics.
- Proven expertise in analyzing large-scale genomic datasets (e.g., whole-genome sequencing, exome sequencing, RNA-seq).
- Strong programming skills in Python, R, or Perl, and familiarity with relevant bioinformatics libraries.
- Deep understanding of statistical methods, machine learning, and data mining techniques applicable to biological data.
- Experience with high-performance computing environments and cloud platforms.
- Excellent scientific leadership, communication, and interpersonal skills.
- Demonstrated ability to manage complex research projects and mentor team members.
Principal Scientist - Bioinformatics & Computational Biology
Posted 20 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.