2,183 Remote Principal Scientist Bioinformatics jobs in Kenya
Remote Principal Scientist - Bioinformatics
Posted 21 days ago
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Remote Principal Scientist, Bioinformatics & Genomics
Posted 19 days ago
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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 Scientist - Bioinformatics (Remote)
Posted 19 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 Bioinformatics Scientist (Remote)
Posted 21 days ago
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Remote Principal Research Scientist - Bioinformatics
Posted 10 days ago
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Principal Remote Research Scientist - Bioinformatics
Posted 20 days ago
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Responsibilities:
- Lead the design and execution of bioinformatics research projects, from hypothesis generation to data analysis and interpretation.
- Develop and implement novel algorithms, statistical models, and computational tools for analyzing large-scale biological data.
- Analyze and interpret genomic, transcriptomic, proteomic, and other omics data.
- Collaborate with biologists, clinicians, and other researchers to address complex scientific questions.
- Supervise and mentor junior bioinformatics scientists and research assistants.
- Stay at the forefront of bioinformatics research and technologies, publishing findings in high-impact journals.
- Manage research projects, including timelines, budgets, and resource allocation.
- Develop and maintain robust bioinformatics pipelines and databases.
- Present research findings at scientific conferences and to internal stakeholders.
- Contribute to grant writing and secure external funding for research initiatives.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
- Evaluate and integrate new technologies and software for bioinformatics analysis.
- Foster a collaborative and innovative research environment remotely.
- Contribute to the strategic direction of the organization's research efforts.
- Troubleshoot complex computational and analytical challenges.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 10 years of post-doctoral research experience in bioinformatics or computational biology.
- Demonstrated expertise in analyzing diverse biological datasets (genomics, transcriptomics, proteomics, etc.).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Strong understanding of statistical methods and machine learning techniques.
- Experience with high-performance computing environments and cloud computing platforms.
- Excellent publication record in peer-reviewed scientific journals.
- Proven ability to lead research projects and mentor scientific teams.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Outstanding written and verbal communication skills for scientific presentations and collaborations.
- Ability to work independently and thrive in a challenging, fully remote research setting.
Principal Research Scientist - Bioinformatics - Remote
Posted 21 days ago
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Job Description
Responsibilities:
- Lead and design complex bioinformatics research projects, from hypothesis generation to experimental design and data analysis.
- Develop and implement novel computational methods and algorithms for analyzing large-scale biological datasets (genomic, transcriptomic, proteomic, etc.).
- Interpret and present research findings to internal teams, external collaborators, and at scientific conferences.
- Collaborate with experimental biologists, chemists, and other scientists to integrate computational and experimental approaches.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and related scientific fields.
- Mentor and guide junior scientists and researchers, fostering their professional development.
- Contribute to grant writing and securing funding for research initiatives.
- Manage research projects, ensuring timely delivery of milestones and adherence to budgets.
- Publish research findings in high-impact peer-reviewed journals.
- Contribute to the strategic direction of the research group and the organization's scientific endeavors.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a closely related field.
- Minimum of 8 years of post-doctoral research experience in bioinformatics, with a significant portion in a leadership or principal investigator role.
- Demonstrated expertise in analyzing various 'omics' data types (e.g., WGS, RNA-Seq, ChIP-Seq, proteomics).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, C/C++).
- Experience with high-performance computing (HPC) environments and cloud computing platforms (AWS, GCP, Azure).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Excellent publication record in reputable scientific journals.
- Proven ability to lead research teams, manage projects, and secure funding.
- Exceptional critical thinking, problem-solving, and communication skills.
- Ability to work independently and collaboratively within a fully remote research environment.
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Principal Research Scientist - Genomics & Bioinformatics (Remote)
Posted 20 days ago
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Junior Data Analyst & Research Assistant (Remote)
Posted 2 days ago
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Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform descriptive statistical analysis and generate basic reports.
- Create data visualizations to illustrate findings and trends.
- Conduct literature searches and summarize research findings.
- Support senior team members in data-driven projects.
- Maintain organized and accurate data records.
- Collaborate effectively with remote team members.
- Contribute to the development of research methodologies.
- Learn and apply new data analysis techniques and tools.
- Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- Strong analytical and quantitative skills.
- Proficiency in Microsoft Excel for data analysis.
- Familiarity with statistical software (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Strong written and verbal communication skills for remote interaction.
- Ability to work independently and manage workload in a remote setting.
- Eagerness to learn and develop data analysis skills.
- Passion for research and problem-solving.
Sports Analytics Specialist
Posted 21 days ago
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Responsibilities:
- Collect, clean, and process large sports-related datasets.
- Develop and apply statistical models to analyze player and team performance.
- Create predictive models for game outcomes, player development, and strategic planning.
- Visualize data and present findings through reports, dashboards, and presentations.
- Collaborate with coaches, athletes, and management to provide data-driven insights.
- Identify trends and patterns in sports data to inform decision-making.
- Stay updated on the latest advancements in sports analytics techniques and technologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of new analytical tools and methodologies.
- Communicate complex analytical concepts to diverse audiences.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of SQL and database management.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of statistical concepts and machine learning techniques.
- Deep knowledge and passion for one or more sports.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and manage projects in a remote environment.