2,332 Remote Bioinformatics Research Scientist jobs in Kenya
Research Scientist - Bioinformatics (Remote)
Posted 10 days ago
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Job Description
Our client, a leader in scientific innovation, is seeking a highly skilled and motivated Research Scientist specializing in Bioinformatics. This is a fully remote position, perfect for an experienced scientist who thrives in an independent research environment. You will be instrumental in analyzing complex biological data, developing novel computational methods, and contributing to groundbreaking research projects. The ideal candidate possesses a strong analytical mind, expertise in programming, and a passion for advancing scientific knowledge.
Key Responsibilities:
Key Responsibilities:
- Design and execute bioinformatics analyses for large-scale genomic, transcriptomic, or proteomic datasets.
- Develop, implement, and optimize computational pipelines and algorithms for biological data analysis.
- Analyze and interpret experimental results, drawing meaningful conclusions and contributing to scientific publications.
- Collaborate with experimental biologists, geneticists, and other researchers to define research questions and experimental designs.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Develop and maintain clear, concise documentation for code, methods, and analysis results.
- Present research findings at internal meetings, scientific conferences, and to external collaborators.
- Contribute to grant writing and funding proposals as needed.
- Mentor junior researchers or technicians in bioinformatics techniques.
- Ensure data integrity, reproducibility, and adherence to ethical research standards.
- Manage and maintain bioinformatics databases and computational resources.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a closely related field.
- Minimum of 5 years of post-doctoral research experience in bioinformatics or computational biology.
- Proven expertise in analyzing large biological datasets using tools such as R, Python, Perl, or similar programming languages.
- Strong experience with sequence alignment, variant calling, gene expression analysis, and other common bioinformatics workflows.
- Familiarity with public biological databases (e.g., NCBI, Ensembl, UniProt) and bioinformatics tools.
- Experience with high-performance computing (HPC) environments and cloud computing platforms is desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong publication record in reputable peer-reviewed journals.
- Exceptional written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
- Ability to work independently, manage multiple research projects, and meet deadlines in a remote setting.
- Demonstrated ability to collaborate effectively with interdisciplinary teams.
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Lead Research Scientist - Bioinformatics (Remote)
Posted 25 days ago
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Job Description
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.
- 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).
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Principal Research Scientist - Bioinformatics (Remote)
Posted 23 days ago
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Job Description
Our client is seeking a highly accomplished and visionary Principal Research Scientist specializing in Bioinformatics to lead groundbreaking research initiatives. This is a fully remote position, offering an unparalleled opportunity for a leading scientist to contribute to transformative projects without geographical constraints. You will be responsible for designing and executing innovative research strategies focused on analyzing large-scale biological datasets, developing novel computational methods, and driving scientific discovery. Your work will involve applying advanced bioinformatics techniques to areas such as genomics, proteomics, transcriptomics, and systems biology, with the goal of uncovering new biological insights, identifying therapeutic targets, and advancing our understanding of complex diseases. You will lead a team of talented bioinformatics researchers and collaborate closely with biologists, clinicians, and data scientists across the organization and with external academic partners. This role requires a deep theoretical understanding of biological systems, coupled with exceptional expertise in computational biology, statistical modeling, and machine learning. You will be expected to stay at the forefront of scientific literature, publish your findings in high-impact journals, and present your work at international conferences. The ideal candidate will possess a proven ability to conceptualize, design, and complete complex research projects independently, as well as effectively mentor and guide junior researchers. Strong analytical and problem-solving skills, combined with excellent communication and leadership capabilities, are essential for success in this senior role. This is an exceptional chance to make a significant contribution to scientific advancement in a highly collaborative and intellectually stimulating remote environment.
Responsibilities:
Responsibilities:
- Lead the design and execution of cutting-edge research projects in bioinformatics and computational biology.
- Develop and implement novel algorithms, pipelines, and analytical methods for analyzing large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Interpret complex biological data to derive meaningful insights and identify key findings.
- Collaborate with cross-disciplinary teams, including biologists, clinicians, and data scientists, to address critical research questions.
- Mentor and guide junior bioinformatics researchers, fostering scientific growth and development.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Publish research findings in top-tier peer-reviewed journals and present at leading scientific conferences.
- Contribute to the development of the company's research strategy and roadmap.
- Evaluate and integrate new technologies and tools to enhance research capabilities.
- Ensure the rigor, reproducibility, and quality of all research activities.
- Manage project timelines, resources, and budgets effectively.
- Foster a culture of scientific curiosity, collaboration, and innovation.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 10+ years of progressive experience in bioinformatics research, with a substantial track record of impactful publications and successful project completion.
- Extensive expertise in analyzing diverse biological datasets (e.g., next-generation sequencing, mass spectrometry).
- Proficiency in programming languages such as Python, R, Perl, and familiarity with bioinformatics tools and databases.
- Strong understanding of statistical methods, machine learning, and algorithm development.
- Experience with high-performance computing environments and cloud platforms is a plus.
- Demonstrated leadership abilities and experience mentoring research teams.
- Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex scientific concepts.
- Proven ability to think critically, solve complex problems, and work independently.
- Experience in drug discovery, precision medicine, or related translational research areas is highly desirable.
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Remote Bioinformatics Scientist
Posted 25 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and motivated Bioinformatics Scientist to join their fully remote research and development team. This is an exceptional opportunity for an experienced professional to contribute to groundbreaking research in genomics, proteomics, or systems biology. You will be instrumental in designing and implementing computational strategies to analyze complex biological datasets, extract meaningful insights, and drive scientific discovery. Responsibilities include developing and applying bioinformatics tools and algorithms, managing large-scale biological data, performing statistical analysis, and contributing to the interpretation of experimental results. The ideal candidate will possess a strong academic background, significant experience in bioinformatics, and a proven track record of successfully analyzing diverse omics data. You should be proficient in relevant programming languages (e.g., Python, R, Perl) and familiar with bioinformatics databases, tools, and workflows. Excellent problem-solving skills, meticulous attention to detail, and the ability to work independently and collaboratively in a remote setting are crucial. You will be expected to communicate complex scientific findings clearly and effectively, both in writing and through virtual presentations. A dedicated home office equipped for advanced computational work is necessary. This role offers the chance to work on challenging projects, collaborate with leading researchers, and make a tangible impact on scientific advancements, all from the convenience of your home.
Key Responsibilities:
Key Responsibilities:
- Develop and apply computational and statistical methods for analyzing biological data (genomics, transcriptomics, proteomics, etc.).
- Design and implement bioinformatics pipelines and algorithms.
- Manage, curate, and analyze large-scale biological datasets.
- Interpret experimental results and provide actionable scientific insights.
- Collaborate with experimental biologists and other researchers on project design and execution.
- Stay abreast of the latest advancements in bioinformatics and computational biology.
- Contribute to scientific publications and presentations.
- Ensure the integrity and quality of data analysis performed in a remote environment.
- Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Demonstrated experience in analyzing large biological datasets using bioinformatics tools and approaches.
- Proficiency in programming languages such as Python, R, or Perl.
- Familiarity with common bioinformatics databases (e.g., NCBI, Ensembl) and software packages.
- Strong understanding of statistical principles and their application in biological data analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective written and verbal communication skills for remote collaboration and reporting.
- Proven ability to work independently and manage research projects in a remote setting.
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Senior Research Scientist - Bioinformatics - Remote
Posted 23 days ago
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Job Description
Our client, a pioneering force in Scientific Research & Development, is seeking a highly accomplished Senior Research Scientist specializing in Bioinformatics to join their cutting-edge, fully remote research team. This critical role involves designing and implementing advanced computational analyses of large-scale biological datasets, contributing to groundbreaking discoveries in genomics and molecular biology. You will be responsible for developing novel algorithms, validating computational pipelines, and collaborating with experimental biologists to interpret complex findings. This position demands exceptional analytical skills, a profound understanding of bioinformatics tools and techniques, and the ability to work independently and collaboratively in a remote setting.
Key Responsibilities:
The ideal candidate will possess a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field, with a minimum of 5-7 years of hands-on experience in computational analysis of biological data. Proven expertise in scripting languages (e.g., Python, R), bioinformatics software packages, and public biological databases is essential. Experience with cloud computing platforms (AWS, GCP) and high-performance computing (HPC) environments is highly desirable. Strong statistical and machine learning skills, coupled with a solid understanding of molecular biology and genomics, are required. Excellent problem-solving, critical thinking, and communication skills, with the ability to work effectively in a remote, collaborative research setting, are paramount. This is an exceptional opportunity to contribute to transformative research remotely, based from **Mombasa, Mombasa, KE**, or any other suitable remote location.
Key Responsibilities:
- Design, develop, and implement sophisticated bioinformatics pipelines for analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Develop and apply advanced statistical methods and machine learning algorithms to extract meaningful insights from complex biological datasets.
- Collaborate closely with experimental researchers to define research questions, design experiments, and interpret results.
- Create and maintain high-quality documentation for all developed tools, pipelines, and analyses.
- Evaluate and integrate new bioinformatics tools and technologies to enhance research capabilities.
- Manage and curate large biological databases, ensuring data integrity and accessibility.
- Contribute to the writing of research manuscripts for publication in peer-reviewed journals.
- Present research findings at scientific conferences and internal meetings.
- Mentor junior scientists and bioinformaticians, fostering a collaborative and innovative research environment.
- Ensure adherence to data privacy regulations and best practices for sensitive biological information.
- Maintain effective remote communication and project management with a geographically dispersed research team.
The ideal candidate will possess a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field, with a minimum of 5-7 years of hands-on experience in computational analysis of biological data. Proven expertise in scripting languages (e.g., Python, R), bioinformatics software packages, and public biological databases is essential. Experience with cloud computing platforms (AWS, GCP) and high-performance computing (HPC) environments is highly desirable. Strong statistical and machine learning skills, coupled with a solid understanding of molecular biology and genomics, are required. Excellent problem-solving, critical thinking, and communication skills, with the ability to work effectively in a remote, collaborative research setting, are paramount. This is an exceptional opportunity to contribute to transformative research remotely, based from **Mombasa, Mombasa, KE**, or any other suitable remote location.
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Senior Research Scientist - Bioinformatics - Remote
Posted today
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Job Description
Our client is a pioneering research institution seeking a highly accomplished Senior Research Scientist specializing in Bioinformatics. This is a fully remote position, offering the opportunity to contribute to cutting-edge scientific discoveries from anywhere. You will be instrumental in analyzing complex biological datasets and driving new research initiatives.
Responsibilities:
Responsibilities:
- Design and implement advanced bioinformatics pipelines for analyzing genomic, transcriptomic, and proteomic data.
- Develop and apply statistical and machine learning models to interpret large-scale biological datasets.
- Collaborate with biologists, clinicians, and other scientists to define research questions and experimental designs.
- Develop and validate novel computational methods and algorithms for biological data analysis.
- Manage and curate biological databases, ensuring data integrity and accessibility.
- Supervise and mentor junior researchers and bioinformaticians.
- Prepare manuscripts for publication in high-impact scientific journals and present findings at international conferences.
- Contribute to grant writing and secure funding for research projects.
- Stay abreast of the latest advancements in genomics, bioinformatics, and related fields.
- Ensure reproducibility and transparency in all computational analyses.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 7 years of post-doctoral or industry experience in bioinformatics research.
- Extensive experience with programming languages such as Python, R, and Perl.
- Proven expertise in analyzing next-generation sequencing (NGS) data.
- Deep understanding of biological pathways, molecular biology, and genomics.
- Experience with cloud computing platforms (AWS, GCP, Azure) for large-scale data analysis.
- Strong statistical modeling and machine learning skills.
- Excellent scientific writing and presentation skills.
- Demonstrated ability to lead research projects and mentor junior scientists.
- Experience working effectively in a remote, collaborative research environment.
- Proficiency with version control systems (e.g., Git).
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5
Lead Remote Bioinformatics Scientist
Posted 14 days ago
Job Viewed
Job Description
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 Bioinformatics Research Scientist
Posted 25 days ago
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Job Description
Our client is looking for a talented and motivated Bioinformatics Research Scientist to join their pioneering remote research and development team. This role is focused on leveraging advanced computational approaches to analyze complex biological datasets, driving innovation in our scientific endeavors. You will be responsible for the design, development, and implementation of novel algorithms and analytical pipelines for genomic, proteomic, and transcriptomic data. This position requires a strong background in computational biology, statistics, and programming, with hands-on experience in analyzing large-scale biological data. Your duties will include identifying and applying appropriate statistical and machine learning methods to biological problems, interpreting research findings, and collaborating closely with wet-lab scientists and other stakeholders to guide experimental design and data interpretation. You will be expected to stay abreast of the latest advancements in bioinformatics and computational biology, contributing to the scientific literature through publications and presentations. The ability to effectively communicate complex scientific information to both technical and non-technical audiences is essential. This is a fully remote position, offering the flexibility to work from your preferred location while contributing to cutting-edge research. You will utilize a suite of sophisticated bioinformatics tools and databases, and potentially develop custom software solutions to address unique research questions. The role demands a rigorous scientific approach, meticulous attention to detail, and a passion for unraveling the complexities of biological systems through data-driven insights. Successful candidates will possess a PhD or Master's degree in Bioinformatics, Computer Science, Statistics, or a related field, coupled with significant research experience. The collaborative nature of this remote role means strong virtual communication and teamwork skills are paramount, ensuring seamless integration with our global research community and contributing to the advancement of scientific knowledge.
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Senior Research Scientist - Bioinformatics, Remote First
Posted today
Job Viewed
Job Description
Our client is a leading research institution seeking a highly accomplished Senior Research Scientist specializing in Bioinformatics to join their innovative team. This is a 100% remote position, offering a unique opportunity for a dedicated researcher to contribute to cutting-edge scientific discovery without geographical constraints. You will lead projects focused on analyzing complex biological data, developing novel computational approaches, and publishing impactful research.
Responsibilities:
Qualifications:
This position, conceptually situated in Kitale, Trans-Nzoia, KE , is a fully remote role, enabling collaboration with researchers worldwide.
Responsibilities:
- Design and execute bioinformatics research projects, including the analysis of genomic, transcriptomic, proteomic, and other high-throughput biological data.
- Develop and implement novel computational algorithms, statistical methods, and software tools for biological data analysis.
- Collaborate with experimental biologists and clinicians to interpret data and formulate research hypotheses.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Lead the writing of grant proposals and research publications in peer-reviewed journals.
- Mentor junior research scientists and postdoctoral fellows.
- Present research findings at national and international conferences.
- Contribute to the strategic direction of the research group and institution.
- Ensure compliance with data privacy and ethical guidelines in research.
- Build and maintain collaborative relationships with internal and external research partners.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a closely related field.
- A minimum of 7 years of post-doctoral research experience in bioinformatics or computational biology.
- Proven track record of leading research projects and publishing in high-impact scientific journals.
- Extensive experience with various bioinformatics tools and databases.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, C++).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with large-scale data analysis platforms and cloud computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to clearly communicate complex scientific concepts.
- Demonstrated ability to work independently and effectively lead research efforts in a remote setting.
- Experience with Next-Generation Sequencing (NGS) data analysis is essential.
This position, conceptually situated in Kitale, Trans-Nzoia, KE , is a fully remote role, enabling collaboration with researchers worldwide.
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8
Senior Remote Bioinformatics Scientist
Posted 23 days ago
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Job Description
Our client, a pioneering research organization, is seeking a highly skilled and motivated Senior Remote Bioinformatics Scientist to join their cutting-edge R&D team. This position is fully remote, offering the flexibility to work from anywhere within Kenya. You will be instrumental in analyzing large-scale biological datasets, developing novel computational methods, and contributing to groundbreaking research in areas such as genomics, transcriptomics, and proteomics. The ideal candidate will possess a strong background in computational biology, statistics, and programming, coupled with extensive experience in analyzing complex biological data. You will be responsible for designing and implementing bioinformatics pipelines, interpreting results, and collaborating with experimental biologists and other researchers to advance scientific discovery. We are looking for an individual with a proven ability to tackle challenging scientific problems, a deep understanding of current bioinformatics tools and databases, and excellent communication skills. Your expertise will be crucial in deriving meaningful insights from high-throughput sequencing data and other molecular biology experiments. This remote role, connected to the scientific hub of **Eldoret, Uasin Gishu, KE**, presents a unique opportunity to push the boundaries of biological understanding and contribute to significant advancements in the field.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for analyzing large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Perform statistical analysis and interpretation of high-throughput sequencing data.
- Develop and apply computational methods to identify patterns, biomarkers, and potential drug targets.
- Collaborate with experimental biologists and clinicians to define research questions and experimental designs.
- Visualize and communicate complex biological data and findings effectively to diverse audiences.
- Stay abreast of the latest advancements in bioinformatics tools, algorithms, and technologies.
- Contribute to scientific publications and grant proposals.
- Develop and maintain code and documentation for reproducible research.
- Troubleshoot and optimize existing bioinformatics workflows.
- Mentor junior researchers and contribute to team knowledge sharing.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics research and data analysis.
- Strong proficiency in programming languages such as Python or R.
- Extensive experience with bioinformatics tools, databases, and software packages (e.g., Bioconductor, GATK, Samtools, BLAST).
- Demonstrated experience in analyzing next-generation sequencing (NGS) data.
- Solid understanding of molecular biology and genetics.
- Excellent analytical, statistical, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to present complex findings clearly.
- Proven ability to work independently and collaboratively in a remote research environment.
- Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
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