2,817 Lead Bioinformatics Scientist Remote jobs in Kenya
Lead Bioinformatics Scientist - Remote
Posted 24 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and maintain robust bioinformatics pipelines for the analysis of large-scale biological data.
- Perform comprehensive analysis of genomic, transcriptomic, and epigenomic datasets.
- Develop and implement statistical and machine learning models to identify biological patterns and biomarkers.
- Collaborate closely with experimental scientists to design studies and interpret results.
- Visualize complex biological data in an accessible and informative manner.
- Contribute to the writing of scientific manuscripts, grant proposals, and technical documentation.
- Present research findings at internal meetings and external scientific conferences.
- Mentor junior bioinformaticians and data scientists.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological domains.
- Ensure the quality, integrity, and reproducibility of all computational analyses.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 7 years of experience in bioinformatics or computational biology, with a significant portion in a leadership or senior role.
- Expertise in analyzing next-generation sequencing data.
- Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries and frameworks.
- Strong understanding of statistical methods and machine learning techniques.
- Familiarity with common bioinformatics databases and tools.
- Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
- Excellent communication, presentation, and interpersonal skills.
- Ability to manage multiple projects simultaneously in a remote setting.
- Proven ability to work effectively in a collaborative, interdisciplinary team.
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.
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 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.
Lead Remote Bioinformatics Scientist
Posted 13 days ago
Job Viewed
Job Description
Remote Lead Bioinformatics Scientist
Posted 22 days ago
Job Viewed
Job Description
Remote Lead Bioinformatics Scientist - Genomics
Posted 15 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.
Be The First To Know
About the latest Lead bioinformatics scientist remote Jobs in Kenya !
Remote Lead Scientist - Bioinformatics and Computational Biology
Posted 23 days ago
Job Viewed
Job Description
Agricultural Scientist - Remote Research
Posted 7 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct remote research in crop science, soil health, and sustainable agriculture.
- Design and oversee agricultural experiments and trials.
- Collect, analyze, and interpret scientific data.
- Contribute to the development of new agricultural technologies and practices.
- Prepare scientific reports, publications, and presentations.
- Collaborate with a global team of researchers and agronomists.
- Stay updated on advancements in agricultural science and relevant technologies.
- Provide technical expertise and guidance on research projects.
- Ensure scientific integrity and accuracy in all research activities.
- Identify opportunities for research grant applications.
Qualifications:
- Proven experience in agricultural research or a related scientific field.
- Strong understanding of agronomy, plant science, and soil science.
- Proficiency in data analysis software and statistical methods.
- Experience with remote research methodologies and tools.
- Excellent scientific writing and communication skills.
- Ability to work independently and manage research projects remotely.
- Ph.D. or Master's degree in Agricultural Science, Agronomy, or a related field.
- Published research in peer-reviewed journals is a plus.
Graduate Data Scientist, Remote Research
Posted 22 days ago
Job Viewed
Job Description
- Assisting in data collection, cleaning, and preprocessing.
- Performing exploratory data analysis to identify trends and patterns.
- Developing and implementing machine learning models under supervision.
- Evaluating model performance and iterating on solutions.
- Creating data visualizations to communicate findings.
- Collaborating with senior team members on research projects.
- Documenting methodologies and results.
- Learning and applying new data science techniques.
This internship offers a unique opportunity to develop your skills in a supportive, remote environment. Our client is committed to fostering talent and providing a stepping stone for a successful career in data science. Apply now to be part of an innovative team and gain practical experience that will shape your future.