2,817 Lead Bioinformatics Scientist Remote jobs in Kenya

Lead Bioinformatics Scientist - Remote

20101 Nyeri Town KES200000 Annually WhatJobs remove_red_eye View All

Posted 24 days ago

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full-time
Our client is seeking an experienced and innovative Lead Bioinformatics Scientist to spearhead our computational biology initiatives. This is a fully remote position, allowing you to leverage your expertise in analyzing complex biological datasets without geographical constraints. The successful candidate will play a pivotal role in developing and implementing cutting-edge bioinformatics pipelines, analyzing high-throughput sequencing data (genomics, transcriptomics, epigenomics), and extracting meaningful biological insights. You will be instrumental in guiding research strategy, collaborating with experimental biologists, and contributing to high-impact publications. This role demands a strong foundation in biology, exceptional computational skills, and the ability to communicate complex findings effectively to diverse audiences.

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.
Qualifications:
  • 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.
This is an exciting opportunity to lead bioinformatics efforts in a dynamic, remote-first research environment based out of **Nyeri, Nyeri, KE**. If you are a visionary bioinformatics scientist looking to make a substantial impact, we invite you to apply.
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Lead Bioinformatics Scientist - Genomics (Remote)

40100 Kisumu KES5500000 Annually WhatJobs remove_red_eye View All

Posted 24 days ago

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full-time
Our client is looking for a highly accomplished Lead Bioinformatics Scientist with expertise in genomics to join their pioneering, fully remote research and development team. This critical role will involve the development and application of computational approaches to analyze large-scale genomic datasets. You will lead projects focused on identifying genetic variations, understanding gene expression patterns, and elucidating biological pathways relevant to disease mechanisms and therapeutic development. Your responsibilities will include designing bioinformatics pipelines, implementing advanced analytical methods, interpreting complex results, and contributing to scientific publications and grant proposals. You will collaborate closely with molecular biologists, geneticists, and other researchers in a virtual setting, driving innovation in genomic research.

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.
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Lead Research Scientist - Bioinformatics (Remote)

20500 Kapsuser KES220000 Annually WhatJobs remove_red_eye View All

Posted 24 days ago

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full-time
Our client is a cutting-edge scientific research organization seeking a highly innovative and experienced Lead Research Scientist specializing in Bioinformatics to join their globally distributed team. This is a fully remote position, allowing you to contribute to groundbreaking research from your home office. You will be responsible for designing and executing complex bioinformatics analyses, developing novel computational methods, and leading research projects focused on unraveling biological mysteries through data. The ideal candidate possesses a deep understanding of genomics, transcriptomics, proteomics, and other '-omics' data types, coupled with strong programming skills and a passion for scientific discovery. Key Responsibilities:
  • 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.
Qualifications:
  • 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).
This is an exceptional opportunity for a visionary scientist to lead impactful research in a flexible, remote work environment. You will be at the forefront of scientific discovery, working with a dedicated and world-class team. If you are passionate about leveraging computation to solve complex biological problems, we invite you to apply.
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Lead Data Scientist - Bioinformatics (Remote)

50101 Kakamega, Western KES3500000 Annually WhatJobs

Posted 15 days ago

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full-time
Our client, a pioneering scientific research and development firm at the forefront of biotechnology, is seeking a highly accomplished Lead Data Scientist specializing in Bioinformatics to join their world-class, fully remote R&D team. This pivotal role will drive the analysis of complex biological datasets, leading to groundbreaking discoveries and advancements in our client's research initiatives. You will leverage your expertise in statistical modeling, machine learning, and computational biology to extract meaningful insights from genomic, proteomic, and transcriptomic data. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, or a closely related field, coupled with extensive experience in leading data science projects within a research setting. You will be responsible for designing analytical frameworks, developing predictive models, and translating complex findings into actionable scientific strategies. This position demands exceptional technical acumen, strong leadership capabilities, and the ability to foster innovation in a collaborative, remote environment. We are looking for individuals who are passionate about scientific discovery, possess strong programming skills (e.g., Python, R), and are adept at utilizing big data technologies and cloud computing platforms. The ability to mentor junior scientists, communicate complex results to diverse audiences, and drive research agendas independently is crucial. This is an unparalleled opportunity to contribute to cutting-edge research that has the potential to revolutionize healthcare and life sciences. You will play a key role in shaping our client's scientific direction and advancing their mission to solve critical global health challenges. Success in this role is measured by the impact of your research findings, the development of novel analytical approaches, and the successful translation of data insights into tangible scientific breakthroughs. We expect candidates to have a robust publication record and a deep understanding of current trends in bioinformatics and data-driven scientific research.

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.
Qualifications:
  • 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.
This is a fully remote position, allowing you to conduct vital scientific research from anywhere. Your leadership in bioinformatics will be instrumental in driving significant advancements in our client's innovative R&D efforts.
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Lead Remote Bioinformatics Scientist

80200 Casuarina KES200000 Annually WhatJobs remove_red_eye View All

Posted 13 days ago

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full-time
Our client, a cutting-edge research organization, is seeking a highly skilled and innovative Lead Remote Bioinformatics Scientist to spearhead critical research initiatives. This is a fully remote position, allowing you to contribute to groundbreaking scientific discoveries from your home office. The successful candidate will lead the analysis of large-scale genomic and proteomic datasets, applying advanced computational and statistical methods to uncover novel biological insights. Responsibilities include designing and implementing bioinformatics pipelines, developing new algorithms for data analysis, and interpreting complex biological data to inform research strategies. You will collaborate with a multidisciplinary team of biologists, chemists, and computational scientists, providing essential bioinformatics expertise and guidance. The role requires a deep understanding of molecular biology, genetics, and various 'omics' technologies, as well as proficiency in programming languages such as Python, R, and Perl, and experience with database management. You will be responsible for managing research projects, mentoring junior scientists, and presenting findings at scientific conferences and in publications. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, with a proven track record of impactful research and publications. Exceptional problem-solving skills, strong leadership capabilities, and excellent communication abilities are essential for success in this remote leadership role. This is an unparalleled opportunity to work on challenging scientific problems, push the boundaries of biological understanding, and make significant contributions to the scientific community. The position is nominally associated with our client's operations in Malindi, Kilifi, KE , but is a fully remote role, offering significant autonomy and the flexibility to manage your work schedule effectively.
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Remote Lead Bioinformatics Scientist

40100 Kisumu KES480000 Annually WhatJobs remove_red_eye View All

Posted 22 days ago

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full-time
Our client is seeking a highly experienced and visionary Remote Lead Bioinformatics Scientist to drive cutting-edge research. This is a fully remote position, offering the opportunity to lead groundbreaking projects from anywhere in the world. The successful candidate will be responsible for the design, development, and implementation of bioinformatics pipelines and analytical workflows for complex biological datasets, including genomics, transcriptomics, and proteomics. You will oversee a team of bioinformaticians, providing technical guidance, mentorship, and strategic direction. Key responsibilities include analyzing large-scale omics data, developing novel computational methods, and interpreting biological findings to advance scientific discovery. A deep understanding of statistical genetics, machine learning, and algorithm development is essential. Proficiency in programming languages such as Python and R, along with experience in relevant bioinformatics tools and databases, is mandatory. You will collaborate closely with experimental biologists, clinicians, and other research scientists to define research questions and develop appropriate computational approaches. Strong project management skills are required to lead multiple research projects simultaneously, ensuring timely delivery of high-quality results. We are looking for an exceptional communicator, capable of presenting complex scientific information clearly and effectively to diverse audiences, including scientific peers and funding agencies. The ability to work independently, manage a remote team, and foster a collaborative research environment is crucial. A proven track record of publications in high-impact journals and successful grant applications is highly desirable. This role offers a unique opportunity to shape the future of research within the vibrant scientific community associated with Kisumu, Kisumu, KE , all while enjoying the benefits of a fully remote work setup.
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Remote Lead Bioinformatics Scientist - Genomics

50100 Kisumu KES180000 Annually WhatJobs

Posted 15 days ago

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full-time
Our client, a pioneering life sciences research institution, is seeking a highly motivated and experienced Lead Bioinformatics Scientist to spearhead their genomic research initiatives. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking discoveries from the comfort of your home office. The successful candidate will lead the design, development, and implementation of bioinformatics pipelines for large-scale genomic and transcriptomic data analysis. You will be responsible for managing a portfolio of research projects, mentoring junior scientists, and collaborating with a multidisciplinary team of molecular biologists, geneticists, and computational biologists. Key responsibilities include the analysis of next-generation sequencing (NGS) data, including whole-genome sequencing, exome sequencing, and RNA-Seq, to identify genetic variations, gene expression patterns, and regulatory elements. You will develop and apply statistical methods and machine learning algorithms to uncover biological insights and drive hypothesis generation. The role also involves the curation and integration of genomic databases, ensuring data integrity and accessibility.

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.
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Remote Lead Scientist - Bioinformatics and Computational Biology

30200 Tuwan KES250000 Annually WhatJobs

Posted 23 days ago

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full-time
Our client is a cutting-edge research organization seeking a highly experienced and visionary Remote Lead Scientist to spearhead their Bioinformatics and Computational Biology initiatives. This is a fully remote position, allowing you to drive scientific discovery from your dedicated home office. You will lead a team of bioinformaticians and computational biologists in developing and applying advanced analytical methods to large-scale biological datasets, including genomics, transcriptomics, and proteomics. Your primary responsibilities will include designing complex computational experiments, developing novel algorithms and pipelines for data analysis, and interpreting results to uncover biological insights. You will be instrumental in establishing and maintaining robust bioinformatics infrastructure and workflows, ensuring data integrity and reproducibility. Collaboration with experimental biologists, clinicians, and other research groups will be a key aspect of your role, translating biological questions into computational approaches and providing critical data-driven insights. Experience with high-performance computing environments, cloud computing platforms, and various programming languages (e.g., Python, R, Perl) is essential. You will also be responsible for staying abreast of the latest advancements in bioinformatics and computational biology, identifying new research opportunities, and contributing to grant proposals and publications. The ideal candidate will have a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field, with a strong publication record and a proven track record of leading successful research projects. Excellent leadership, communication, and project management skills are required to effectively mentor your team and collaborate with diverse scientific groups. This is an exceptional opportunity to contribute to groundbreaking research and shape the direction of bioinformatics at a leading institution, all while enjoying the unparalleled flexibility of remote work. Your expertise will directly influence the understanding of complex biological systems and the development of new diagnostics and therapeutics. We are looking for a scientifically rigorous individual with a passion for innovation and a commitment to advancing the field of computational biology. The ability to think critically, solve complex problems, and communicate scientific findings clearly to both technical and non-technical audiences is paramount. Your leadership will foster a collaborative and productive research environment for your remote team.
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Agricultural Scientist - Remote Research

30200 Bungoma, Western KES150000 Annually WhatJobs

Posted 7 days ago

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contractor
Our client, a leading agricultural technology firm dedicated to sustainable farming practices, is seeking a highly qualified Agricultural Scientist to join their fully remote research and development team. This role is pivotal in driving innovation in crop science, soil health, and farm management technologies. You will be responsible for conducting remote research, analyzing data, and contributing to the development of new agricultural solutions. The ideal candidate will possess a strong scientific background in agronomy, horticulture, or a related agricultural field, coupled with extensive experience in research methodologies. Your responsibilities will include designing and overseeing remote trials, collecting and interpreting experimental data, and contributing to scientific publications and technical reports. You will work collaboratively with a team of scientists, agronomists, and data analysts located globally. This position requires a deep understanding of agricultural principles, including plant physiology, pest management, and nutrient management. Experience with data analysis software (e.g., R, SPSS) and familiarity with agricultural modeling tools are essential. This is a remote-first position, demanding excellent self-management skills, strong analytical abilities, and the capacity to conduct complex research independently. You will be expected to stay abreast of the latest advancements in agricultural science and technology. Effective written and verbal communication skills are crucial for disseminating research findings and collaborating with team members. We are looking for an innovative thinker who can contribute novel ideas and solutions to enhance agricultural productivity and sustainability. Your commitment to scientific rigor and your ability to translate research into practical applications will be highly valued. This is an exceptional opportunity for a dedicated Agricultural Scientist to contribute to cutting-edge research in a flexible, remote environment, supporting advancements in agriculture potentially impacting regions like **Bungoma, Bungoma, KE**. We aim to advance agricultural science through rigorous investigation and technological integration.

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.
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Graduate Data Scientist, Remote Research

20222 Kapsuser KES45000 Annually WhatJobs

Posted 22 days ago

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intern
Our client is offering an exciting Graduate Data Scientist internship, a fully remote opportunity for recent graduates eager to dive into the world of data analysis and machine learning. This program is designed to provide you with invaluable experience in tackling complex data challenges and developing predictive models. You will work on real-world projects, gaining hands-on experience with data cleaning, exploration, feature engineering, model building, and evaluation. This internship will immerse you in statistical analysis, machine learning algorithms, and data visualization techniques. You will learn to extract meaningful insights from large datasets, identify patterns, and communicate your findings effectively to stakeholders. The role requires a strong analytical mindset, a passion for data, and a solid foundation in statistics and programming. You will have the opportunity to collaborate with experienced data scientists, contribute to research initiatives, and learn about the practical applications of data science in various industries. This remote internship provides the flexibility to learn and contribute from anywhere. The ideal candidate is a recent graduate with a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering. Familiarity with programming languages like Python or R, and libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch, is highly desirable. You should possess excellent problem-solving skills and a curiosity to explore data. Responsibilities include:
  • 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.
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