2,205 Remote Principal Research Scientist Computational Biology jobs in Kenya
Remote Principal Research Scientist - Computational Biology
Posted 5 days ago
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Job Description
Our client, a pioneering scientific research institution at the forefront of biomedical innovation, is seeking an exceptional Principal Research Scientist specializing in Computational Biology to join their fully remote, world-class research team. This senior role is pivotal in driving cutting-edge research using advanced computational approaches to unravel complex biological questions. You will lead the design and execution of large-scale computational studies, develop novel algorithms and methodologies, and collaborate with experimental biologists to translate findings into impactful discoveries. The ideal candidate is a visionary scientist with a proven track record of significant contributions to the field.
Responsibilities:
Responsibilities:
- Lead the design and implementation of computational biology research projects, defining research questions, methodologies, and experimental plans.
- Develop and apply advanced computational algorithms, statistical models, and machine learning techniques to analyze large-scale biological datasets (e.g., genomics, transcriptomics, proteomics, epigenomics).
- Collaborate closely with experimental biologists, clinicians, and other researchers to interpret results and guide future research directions.
- Develop and maintain high-performance computing infrastructure and pipelines for complex data analysis.
- Supervise and mentor junior scientists, postdocs, and research assistants, fostering a collaborative and innovative research environment.
- Disseminate research findings through publications in high-impact peer-reviewed journals and presentations at international conferences.
- Seek and secure external funding through grant writing and proposal development.
- Stay at the cutting edge of computational biology, bioinformatics, and related fields, introducing novel techniques and tools.
- Contribute to the strategic planning and vision of the research group and institution.
- Ensure the reproducibility and rigor of all computational analyses.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 10 years of post-doctoral research experience in computational biology or a closely related area, with a demonstrated record of leading independent research.
- Extensive experience in analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics.
- Proficiency in programming languages such as Python, R, and/or C++.
- Deep understanding of statistical modeling, machine learning algorithms, and bioinformatics tools.
- Experience with high-performance computing environments (e.g., clusters, cloud computing).
- Proven ability to develop novel computational methods and pipelines.
- Strong publication record in leading scientific journals.
- Excellent communication, presentation, and interpersonal skills, essential for effective remote collaboration.
- Demonstrated leadership and mentoring capabilities.
- A passion for scientific discovery and advancing human health.
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Principal Scientist, Computational Biology - Remote
Posted 20 days ago
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Job Description
Our client is seeking an exceptional Principal Scientist in Computational Biology to drive groundbreaking research and development initiatives. This is a fully remote position, offering a unique opportunity to contribute to cutting-edge scientific discovery from anywhere. You will lead the design and implementation of sophisticated computational approaches to analyze complex biological datasets, including genomics, proteomics, and transcriptomics. Your work will be instrumental in identifying novel drug targets, understanding disease mechanisms, and advancing therapeutic strategies. The ideal candidate will possess a strong background in bioinformatics, statistical analysis, and machine learning, with a proven track record of publishing in high-impact peer-reviewed journals. You will collaborate closely with a multidisciplinary team of biologists, chemists, and clinicians, providing critical computational insights. Key responsibilities include developing new algorithms, building predictive models, and managing large-scale biological data resources. We are looking for a highly analytical, innovative, and self-directed individual who can effectively communicate complex scientific findings to both technical and non-technical audiences. This role offers the chance to make significant contributions to scientific progress within the **Mombasa, Mombasa, KE** region and globally, while benefiting from a remote work environment. A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field is required, along with a minimum of 8-10 years of postdoctoral research experience in academia or industry. Demonstrated expertise in programming languages such as Python or R, and proficiency with relevant bioinformatics tools and databases are essential. Experience with cloud computing platforms and big data technologies is highly desirable. If you are passionate about leveraging computational power to solve complex biological problems and thrive in a remote, collaborative research setting, this is the role for you.
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Lead Research Scientist - Computational Biology
Posted 5 days ago
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Job Description
Eldoret, Uasin Gishu, KE
Our client, a pioneering force in scientific innovation, is seeking an exceptional Lead Research Scientist specializing in Computational Biology to join our cutting-edge, fully remote research division. This role offers a unique opportunity to shape the future of biological discovery from the comfort of your home office. You will lead a team of talented researchers in designing and implementing advanced computational approaches to analyze complex biological datasets, uncover novel insights, and drive forward groundbreaking research projects.
Your responsibilities will encompass the development and application of bioinformatics pipelines, machine learning algorithms, and statistical models to interpret genomic, proteomic, and transcriptomic data. You will be at the forefront of identifying potential therapeutic targets, understanding disease mechanisms, and contributing to the development of next-generation diagnostics and treatments. This position requires a deep understanding of biological systems coupled with strong programming skills and experience with large-scale data analysis. You will mentor junior scientists, collaborate with cross-functional teams, and present your findings at international conferences. The ability to independently manage research projects, from conception to publication, is crucial. We are looking for an individual with a passion for scientific inquiry, a commitment to rigorous research, and the ability to thrive in a collaborative, remote-first environment. Your work will directly impact our understanding of fundamental biological processes and contribute to significant advancements in human health.
Key areas of focus will include developing predictive models, optimizing experimental design through computational methods, and establishing robust data management and analysis frameworks. You will also be responsible for staying abreast of the latest advancements in computational biology and bioinformatics, and for proposing innovative research directions.
Qualifications:
Our client, a pioneering force in scientific innovation, is seeking an exceptional Lead Research Scientist specializing in Computational Biology to join our cutting-edge, fully remote research division. This role offers a unique opportunity to shape the future of biological discovery from the comfort of your home office. You will lead a team of talented researchers in designing and implementing advanced computational approaches to analyze complex biological datasets, uncover novel insights, and drive forward groundbreaking research projects.
Your responsibilities will encompass the development and application of bioinformatics pipelines, machine learning algorithms, and statistical models to interpret genomic, proteomic, and transcriptomic data. You will be at the forefront of identifying potential therapeutic targets, understanding disease mechanisms, and contributing to the development of next-generation diagnostics and treatments. This position requires a deep understanding of biological systems coupled with strong programming skills and experience with large-scale data analysis. You will mentor junior scientists, collaborate with cross-functional teams, and present your findings at international conferences. The ability to independently manage research projects, from conception to publication, is crucial. We are looking for an individual with a passion for scientific inquiry, a commitment to rigorous research, and the ability to thrive in a collaborative, remote-first environment. Your work will directly impact our understanding of fundamental biological processes and contribute to significant advancements in human health.
Key areas of focus will include developing predictive models, optimizing experimental design through computational methods, and establishing robust data management and analysis frameworks. You will also be responsible for staying abreast of the latest advancements in computational biology and bioinformatics, and for proposing innovative research directions.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in computational biology or bioinformatics.
- Demonstrated leadership experience in managing research projects and/or teams.
- Expertise in programming languages such as Python, R, and/or C++.
- Extensive experience with bioinformatics tools, databases, and public datasets (e.g., NCBI, Ensembl).
- Proficiency in statistical analysis and machine learning techniques applied to biological data.
- Strong understanding of molecular biology, genetics, and genomics.
- Excellent written and verbal communication skills, with a track record of publications in peer-reviewed journals.
- Ability to work independently and collaboratively in a remote setting.
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Principal Research Scientist - Computational Biology
Posted 7 days ago
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Job Description
Our client, a world-renowned scientific research institution, is seeking an exceptional Principal Research Scientist to lead pioneering research in Computational Biology. This is a fully remote, highly influential position that will involve developing and applying advanced computational methods to complex biological datasets. You will spearhead research initiatives, mentor junior scientists, and contribute to high-impact publications and grant proposals. The ideal candidate possesses a deep expertise in bioinformatics, statistical modeling, machine learning, and a proven track record of driving significant scientific advancements in a remote-first setting.
Responsibilities:
Responsibilities:
- Lead and conduct cutting-edge research in computational biology, focusing on areas such as genomics, proteomics, systems biology, or drug discovery.
- Develop novel computational algorithms and statistical models to analyze large-scale biological data.
- Design and execute complex bioinformatics pipelines and workflows.
- Collaborate with experimental biologists and clinicians to interpret results and guide future research directions.
- Manage research projects, including setting objectives, timelines, and resource allocation.
- Mentor and supervise junior research scientists, postdoctoral fellows, and graduate students.
- Author high-quality research papers for publication in leading peer-reviewed journals.
- Prepare and submit grant proposals to secure research funding.
- Present research findings at international conferences and symposia.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Contribute to the strategic direction of the research department.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 10 years of post-doctoral research experience in an academic or industrial research setting.
- Demonstrated expertise in statistical analysis, machine learning, and data mining techniques applied to biological data.
- Proficiency in programming languages such as Python, R, and/or Perl, and experience with relevant scientific libraries.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, UCSC Genome Browser, Ensembl).
- Proven track record of leading research projects and publishing in high-impact journals.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong leadership, mentoring, and team collaboration capabilities.
- Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
- Experience working effectively and independently in a remote research environment.
- Strong grant writing experience is highly desirable.
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Senior Research Scientist - Computational Biology
Posted 22 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior Research Scientist specializing in Computational Biology to join their cutting-edge research and development team. This is a fully remote position, offering the flexibility to work from anywhere within Kenya. The successful candidate will play a pivotal role in analyzing large biological datasets, developing predictive models, and contributing to groundbreaking discoveries in genomics, proteomics, and systems biology.
Responsibilities:
Responsibilities:
- Design and implement computational strategies to analyze complex biological data, including next-generation sequencing data, microarray data, and clinical data.
- Develop and validate algorithms and software tools for biological data analysis, interpretation, and visualization.
- Collaborate with cross-functional teams of biologists, chemists, and clinicians to define research objectives and experimental designs.
- Contribute to the interpretation of research findings and the preparation of manuscripts for publication in peer-reviewed journals.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Mentor junior researchers and provide technical guidance on computational approaches.
- Ensure data integrity, security, and compliance with relevant ethical guidelines.
- Present research findings at internal and external scientific conferences.
- Manage research projects, including timelines, resources, and deliverables.
- Contribute to grant proposals and secure funding for research initiatives.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 5 years of post-doctoral research experience in computational biology or bioinformatics.
- Proficiency in programming languages such as Python, R, or Perl, and experience with relevant bioinformatics libraries and tools.
- Strong understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with high-performance computing environments and cloud-based data analysis platforms.
- Demonstrated ability to manage complex research projects and lead scientific initiatives.
- Excellent communication, collaboration, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Proven track record of scientific publications and presentations.
- Experience with biological databases (e.g., GenBank, UniProt, PDB) and pathway analysis tools.
- Familiarity with molecular biology and genetics principles.
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Principal Scientist - Computational Biology
Posted 22 days ago
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Job Description
Our client, a groundbreaking research and development institution, is seeking a highly accomplished Principal Scientist to lead cutting-edge research in Computational Biology. This is a fully remote opportunity, allowing world-class scientists to contribute to transformative discoveries without geographical constraints. You will be at the forefront of applying computational approaches to complex biological problems, driving innovation in areas such as genomics, proteomics, and drug discovery. Your expertise will be crucial in analyzing large-scale biological datasets and developing predictive models.
Key Responsibilities:
Key Responsibilities:
- Design and execute advanced computational biology research projects, focusing on areas like genomics, transcriptomics, proteomics, and systems biology.
- Develop and implement novel computational algorithms and statistical methods for analyzing large, complex biological datasets.
- Collaborate with experimental biologists, bioinformaticians, and clinicians to interpret results and generate biological insights.
- Build and maintain robust analytical pipelines and databases for biological data management.
- Mentor and guide junior researchers and post-doctoral fellows, fostering a collaborative research environment.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and related scientific fields.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Contribute to grant writing and secure external funding for research initiatives.
- Ensure the highest standards of data integrity, reproducibility, and scientific rigor.
- Translate complex biological questions into computational problems and vice versa.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Extensive research experience (10+ years) with a strong publication record in top-tier scientific journals.
- Expertise in analyzing large-scale biological data, including next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and shell scripting, along with experience in relevant bioinformatics tools and databases.
- Deep understanding of statistical modeling, machine learning, and algorithm development.
- Experience with high-performance computing environments and cloud platforms.
- Proven ability to lead research projects, mentor junior scientists, and collaborate effectively within multidisciplinary teams.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated ability to work independently and manage multiple research priorities in a remote setting.
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5
Principal Scientist - Bioinformatics & Computational Biology
Posted 18 days ago
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Job Description
Our client, a cutting-edge research institution dedicated to scientific advancement, is seeking an accomplished Principal Scientist in Bioinformatics and Computational Biology to lead their pioneering, fully remote research team. This high-impact role is responsible for driving innovative research projects, developing novel computational approaches, and analyzing complex biological datasets to unlock new scientific discoveries. The ideal candidate will possess a profound understanding of bioinformatics tools, algorithms, statistical methods, and programming languages relevant to modern biological research. You will be instrumental in designing and executing research strategies, interpreting findings, and contributing significantly to publications and grant proposals.
This is a remote-first opportunity, demanding exceptional scientific rigor, strong analytical and problem-solving skills, and advanced communication abilities to effectively collaborate with researchers globally. You will lead the development and application of computational pipelines for large-scale genomics, proteomics, or other omics data. Responsibilities include managing research projects, mentoring junior scientists, presenting research findings at conferences, and staying at the forefront of technological advancements in the field. The successful candidate will contribute to groundbreaking research that may have implications for health, agriculture, or environmental science, with a particular focus on applications relevant to research initiatives connected to the **Machakos, Machakos, KE** region. A strong publication record and a history of securing research funding are highly desirable.
Key Responsibilities:
This is a remote-first opportunity, demanding exceptional scientific rigor, strong analytical and problem-solving skills, and advanced communication abilities to effectively collaborate with researchers globally. You will lead the development and application of computational pipelines for large-scale genomics, proteomics, or other omics data. Responsibilities include managing research projects, mentoring junior scientists, presenting research findings at conferences, and staying at the forefront of technological advancements in the field. The successful candidate will contribute to groundbreaking research that may have implications for health, agriculture, or environmental science, with a particular focus on applications relevant to research initiatives connected to the **Machakos, Machakos, KE** region. A strong publication record and a history of securing research funding are highly desirable.
Key Responsibilities:
- Lead and conduct research projects in bioinformatics and computational biology.
- Develop and implement novel computational algorithms and pipelines.
- Analyze large-scale biological datasets (e.g., genomics, transcriptomics, proteomics).
- Interpret research findings and contribute to scientific publications.
- Collaborate with experimental biologists and other researchers.
- Mentor and guide junior scientists and research staff.
- Write and secure research grants.
- Stay abreast of the latest advancements in bioinformatics and related fields.
- Present research findings at scientific conferences and meetings.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in a relevant field.
- Demonstrated expertise in bioinformatics tools, databases, and analysis methodologies.
- Proficiency in programming languages such as Python, R, and Perl.
- Strong understanding of statistical methods and machine learning techniques.
- Proven track record of publications in high-impact journals.
- Experience in grant writing and securing research funding.
- Excellent communication, leadership, and problem-solving skills for remote collaboration.
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Principal Scientist - Bioinformatics and Computational Biology
Posted 20 days ago
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Job Description
Our client is actively recruiting a distinguished Principal Scientist specializing in Bioinformatics and Computational Biology. This is a fully remote position, offering a unique opportunity to leverage your advanced analytical skills in a leading research environment without geographical constraints. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a significant track record of independent research and impactful publications. You will be responsible for designing and implementing sophisticated computational strategies to analyze large-scale biological datasets, including genomics, transcriptomics, proteomics, and metabolomics. Key duties involve developing and applying advanced algorithms and statistical methods for data analysis, interpretation, and visualization. The successful candidate will lead projects focused on identifying biological insights, discovering biomarkers, and contributing to drug discovery or disease research. You will collaborate closely with bench scientists, clinicians, and other researchers to integrate computational findings with experimental data and drive scientific advancements. Proficiency in programming languages such as Python or R, along with extensive experience in using bioinformatics tools, databases, and high-performance computing environments, is essential. A strong understanding of molecular biology, genetics, and relevant biological pathways is also crucial. The ability to mentor junior scientists, manage research projects, and effectively communicate complex findings to diverse audiences is paramount. We are seeking an individual with exceptional analytical rigor, innovative thinking, and a passion for applying computational approaches to solve complex biological problems. This is a senior role for an accomplished scientist eager to make a significant contribution to cutting-edge research. This role is located in Thika, Kiambu, KE , but fully remote.
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Senior Research Scientist - Computational Biology (Remote)
Posted 7 days ago
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Job Description
Our client is seeking a highly accomplished and innovative Senior Research Scientist specializing in Computational Biology to join their cutting-edge scientific team. This is a fully remote position, offering an exciting opportunity to drive groundbreaking research from your home office. You will be at the forefront of applying advanced computational methods to address complex biological questions, contributing to significant advancements in life sciences. Your primary responsibilities will involve developing and implementing sophisticated algorithms and statistical models for the analysis of large-scale biological datasets, including genomics, proteomics, and transcriptomics. You will collaborate closely with experimental biologists, bioinformaticians, and clinicians to design research studies, interpret data, and generate actionable insights. The ideal candidate will possess a strong theoretical background in biology, coupled with exceptional computational and statistical skills. A proven track record of independent research, scientific publications, and successful grant applications is highly desirable. You must be adept at programming in languages such as Python or R, and familiar with relevant bioinformatics tools and databases. This role demands creativity, scientific rigor, and the ability to communicate complex scientific findings effectively to diverse audiences. You will play a pivotal role in shaping the direction of our client's research initiatives and contributing to the development of novel therapeutic strategies.
Key Responsibilities:
Key Responsibilities:
- Design and implement computational strategies for analyzing large-scale biological data (genomics, transcriptomics, proteomics, etc.).
- Develop and apply novel algorithms and statistical models to biological problems.
- Collaborate with experimental scientists and clinicians to design research studies and interpret results.
- Identify and explore new research avenues based on data analysis and literature review.
- Contribute to the writing of scientific manuscripts for publication in high-impact journals.
- Present research findings at national and international conferences.
- Mentor junior researchers and contribute to a collaborative research environment.
- Develop and maintain robust computational pipelines and workflows.
- Evaluate and integrate new computational tools and technologies.
- Ensure the highest standards of scientific rigor and reproducibility in all research activities.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry research experience in computational biology or a closely related area.
- Strong proficiency in programming languages such as Python, R, or Perl, and experience with relevant scientific libraries.
- Extensive experience with bioinformatics tools, databases, and data analysis pipelines.
- Deep understanding of molecular biology, genetics, and statistical genetics.
- Demonstrated ability to conduct independent research and publish in peer-reviewed journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
- Proven ability to work effectively in a remote research setting and collaborate with diverse teams.
- Experience with machine learning techniques applied to biological data is a plus.
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8
Remote Senior Research Scientist - Computational Biology
Posted 18 days ago
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Job Description
Our client, a cutting-edge biotechnology company, is seeking a highly skilled and innovative Senior Research Scientist specializing in Computational Biology to join our fully remote R&D team. This position is ideal for an experienced scientist passionate about leveraging computational approaches to solve complex biological problems and drive discovery. You will be responsible for developing and applying advanced computational methods, algorithms, and statistical models to analyze large-scale biological datasets, including genomics, proteomics, and transcriptomics. Your work will contribute to key research projects focused on understanding disease mechanisms, identifying novel drug targets, and developing personalized medicine strategies. Key responsibilities include designing and executing computational experiments, interpreting results, and collaborating closely with experimental biologists, bioinformaticians, and clinicians in a remote setting. You will also be expected to stay abreast of the latest advancements in computational biology and bioinformatics, contributing to the intellectual property of the company. The ideal candidate possesses a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field, with a minimum of 5 years of post-doctoral or industry research experience. Proven expertise in analyzing high-throughput biological data, proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and databases are essential. Strong analytical, problem-solving, and critical thinking skills are paramount. You must be able to work independently, manage multiple projects, and communicate complex scientific concepts clearly and concisely to diverse audiences. This is an exceptional opportunity to contribute to groundbreaking research in a flexible, remote work environment and collaborate with a world-class team.
Key Responsibilities:
Key Responsibilities:
- Develop and implement computational pipelines for analyzing biological data.
- Apply statistical methods and machine learning to biological datasets.
- Analyze genomics, proteomics, and transcriptomics data.
- Identify and validate novel biological targets and biomarkers.
- Collaborate with experimental biologists and other researchers remotely.
- Interpret complex scientific results and communicate findings effectively.
- Contribute to research publications and presentations.
- Stay current with advancements in computational biology and bioinformatics.
- Design and manage computational experiments.
- Contribute to the development of new research methodologies.
- Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of research experience in computational biology or bioinformatics.
- Demonstrated expertise in analyzing large-scale biological datasets (genomics, proteomics, etc.).
- Proficiency in programming languages such as Python or R.
- Experience with bioinformatics tools, databases, and software packages.
- Strong understanding of statistical modeling and machine learning techniques.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills for remote collaboration.
- Ability to work independently and manage multiple research projects.
- Proven ability to interpret and present complex scientific data.
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