2,566 Remote Lead Bioinformatics Scientist jobs in Kenya
Remote Lead Bioinformatics Scientist
Posted 21 days ago
Job Viewed
Job Description
Remote Lead Bioinformatics Scientist - Genomics
Posted 14 days ago
Job Viewed
Job Description
Essential duties will encompass:
- Leading the analysis of complex genomic datasets to identify disease-associated genes and pathways.
- Developing and optimizing computational tools and algorithms for high-throughput sequencing data analysis.
- Designing and executing bioinformatics workflows for variant calling, genotyping, and comparative genomics.
- Interpreting results in the context of biological mechanisms and experimental design.
- Collaborating with experimental teams to guide study design and data interpretation.
- Presenting research findings at scientific conferences and publishing in peer-reviewed journals.
- Managing cloud computing resources and ensuring efficient data storage and processing.
- Providing technical leadership and mentorship to a team of bioinformatics researchers.
- Staying current with the rapidly evolving field of genomics and bioinformatics.
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related quantitative field, with at least 8 years of post-doctoral research experience focusing on genomic data analysis. Demonstrated expertise in programming languages such as Python and R, and proficiency with bioinformatics tools and databases (e.g., GATK, Samtools, ENSEMBL, UCSC Genome Browser) are mandatory. Experience with big data technologies and cloud platforms (AWS, GCP) is highly desirable. You should possess strong statistical and analytical skills, excellent problem-solving abilities, and a proven track record of successfully managing research projects. Exceptional communication and teamwork skills are essential for effective collaboration in a remote setting. This position offers the chance to make a significant impact on scientific understanding and therapeutic development in a dynamic and intellectually stimulating environment.
Remote Lead Scientist - Bioinformatics and Computational Biology
Posted 22 days ago
Job Viewed
Job Description
Lead Research Scientist - Bioinformatics (Remote)
Posted 24 days ago
Job Viewed
Job Description
- Design, develop, and implement advanced bioinformatics pipelines and algorithms for analyzing large-scale biological datasets (e.g., next-generation sequencing data).
- Lead research projects, from conceptualization to publication, focusing on key areas such as disease mechanism, drug discovery, or personalized medicine.
- Analyze and interpret complex genomic, transcriptomic, proteomic, and metabolomic data to extract meaningful biological insights.
- Develop and apply statistical and machine learning methods to biological problems.
- Collaborate with biologists, clinicians, and other researchers to define research questions and experimental designs.
- Develop and maintain robust, scalable, and reproducible computational workflows.
- Contribute to grant writing and secure external funding for research initiatives.
- Mentor and guide junior scientists and research assistants.
- Present research findings at national and international conferences and publish results in high-impact peer-reviewed journals.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Manage computational resources and ensure efficient data storage and processing.
- Contribute to the development of software tools and databases for the research community.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral or industry experience in bioinformatics research.
- Demonstrated expertise in analyzing various 'omics' datasets (genomics, transcriptomics, proteomics, etc.).
- Proficiency in programming languages such as Python, R, and/or Perl, and experience with relevant bioinformatics libraries and frameworks.
- Strong knowledge of statistical methods and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing (HPC) environments.
- Excellent communication, collaboration, and leadership skills.
- Proven track record of publications in leading scientific journals and presentations at conferences.
- Ability to work independently, manage multiple research projects, and drive scientific innovation in a remote setting.
- Experience with database management and data warehousing is a plus.
- Familiarity with genome browsers and biological databases (e.g., Ensembl, NCBI).
Lead Remote Bioinformatics Scientist
Posted 13 days ago
Job Viewed
Job Description
Lead Bioinformatics Scientist - Remote
Posted 22 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the development and implementation of bioinformatics pipelines for analyzing diverse biological datasets (e.g., next-generation sequencing, mass spectrometry).
- Design and execute computational experiments to identify biological patterns, biomarkers, and therapeutic targets.
- Collaborate closely with experimental scientists to interpret results and plan future experiments.
- Develop and maintain robust, reproducible analytical workflows.
- Mentor and guide junior bioinformaticians and research staff.
- Present findings at internal meetings and external scientific conferences.
- Contribute to grant proposals and scientific publications.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of relevant experience in bioinformatics or computational biology research.
- Demonstrated expertise in analyzing large-scale omics data.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Strong experience with bioinformatics tools, databases, and algorithms.
- Experience with high-performance computing environments (e.g., HPC clusters, cloud computing).
- Excellent communication, collaboration, and leadership skills.
- Proven ability to work effectively in a remote, collaborative team setting.
Lead Bioinformatics Scientist - Genomics (Remote)
Posted 24 days ago
Job Viewed
Job Description
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field. A minimum of 7-10 years of post-doctoral research or relevant industry experience in bioinformatics, with a strong specialization in genomics, is required. Proven expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq) using established bioinformatics tools and pipelines (e.g., GATK, STAR, Cufflinks) is essential. Proficiency in programming languages such as Python, R, and shell scripting, along with experience in high-performance computing environments, is necessary. Strong statistical and machine learning skills are highly desirable. Excellent communication, collaboration, and project leadership abilities are paramount for success in this remote role. You should be adept at interpreting and presenting complex scientific data to both technical and non-technical audiences. This is a unique opportunity to make significant contributions to cutting-edge scientific research and development for our client, supporting crucial work originating from the Kisumu, Kisumu, KE area.
Be The First To Know
About the latest Remote lead bioinformatics scientist Jobs in Kenya !
Remote Lead Research Scientist - Bioinformatics
Posted 24 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design and implementation of complex bioinformatics research projects, from hypothesis generation to data analysis and interpretation.
- Develop and apply state-of-the-art computational and statistical methods for analyzing high-throughput biological data (e.g., next-generation sequencing, mass spectrometry).
- Manage and mentor a team of bioinformatics scientists, fostering a collaborative and productive research environment.
- Oversee the development and maintenance of bioinformatics pipelines and databases.
- Collaborate with experimental biologists, clinicians, and other researchers to integrate computational findings with biological context.
- Stay at the forefront of scientific literature, identifying emerging trends and technologies in bioinformatics and related fields.
- Present research findings at international conferences and contribute to high-impact publications.
- Contribute to grant writing and secure research funding.
- Ensure the reproducibility and rigor of all computational analyses.
- Develop and implement strategies for data management, quality control, and standardization.
- Evaluate and adopt new bioinformatics tools and software as needed.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 10 years of postdoctoral research experience in bioinformatics, with a significant portion in a leadership or principal investigator role.
- Extensive experience with programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Deep understanding of genomic, transcriptomic, proteomic, and metabolomic data analysis.
- Proven experience with machine learning and statistical modeling techniques applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) for large-scale data analysis.
- Demonstrated success in publishing in high-impact peer-reviewed journals.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work effectively in a remote, collaborative team setting.
- Experience managing research projects and mentoring junior scientists.
- Expertise in statistical genetics and population genetics is a plus.
Remote Lead Data Scientist - Bioinformatics
Posted 15 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead and mentor a team of data scientists and bioinformaticians in the analysis of complex biological data.
- Develop and implement state-of-the-art computational and statistical methods for genomic, proteomic, and transcriptomic data analysis.
- Design and execute analyses to identify novel biomarkers, therapeutic targets, and disease mechanisms.
- Collaborate with research scientists, biologists, and clinicians to define research questions and data analysis strategies.
- Build and maintain scalable data pipelines for processing and analyzing large biological datasets.
- Apply machine learning techniques to predictive modeling, classification, and pattern recognition in biological systems.
- Ensure the reproducibility and rigor of all data analyses performed.
- Present research findings to scientific audiences, management, and external stakeholders.
- Contribute to grant writing and publication of research results.
- Evaluate and adopt new technologies and methodologies in bioinformatics and data science.
- Manage project timelines and resources effectively within a remote team structure.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Statistics, or a related field.
- Minimum of 7 years of experience in data science with a specialization in bioinformatics.
- Proven experience leading data science or bioinformatics teams.
- Expertise in analyzing large-scale genomic, transcriptomic, or proteomic datasets.
- Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and databases.
- Strong knowledge of statistical modeling, machine learning, and deep learning techniques.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Exceptional communication, presentation, and interpersonal skills for effective remote collaboration.
- Demonstrated ability to work independently and manage multiple complex projects.
Lead Data Scientist - Bioinformatics (Remote)
Posted 15 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale biological datasets.
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze genomic, proteomic, transcriptomic, and other relevant biological data.
- Collaborate with experimental biologists and other research scientists to interpret findings.
- Develop pipelines and tools for data processing, analysis, and visualization.
- Mentor and guide junior data scientists and researchers in bioinformatics techniques.
- Present research findings and insights to scientific teams and stakeholders.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant technologies.
- Contribute to grant proposals and scientific publications.
- Ensure data integrity, reproducibility, and adherence to best practices in computational science.
- Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 8 years of post-doctoral or industry experience in bioinformatics and data science.
- Proven track record of leading complex data science projects in a research environment.
- Extensive experience with programming languages such as Python and R, and associated bioinformatics libraries.
- Expertise in analyzing high-throughput sequencing data (e.g., NGS).
- Strong understanding of statistical methods, machine learning, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP) is highly desirable.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work independently, manage research priorities, and lead effectively in a remote setting.
- A strong publication record in peer-reviewed journals.