608 Senior Bioinformatics Scientist jobs in Kenya
Principal Bioinformatics Scientist
Posted 23 days ago
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Job Description
Our client is actively recruiting a distinguished Principal Bioinformatics Scientist to spearhead cutting-edge research initiatives within their globally recognized scientific R&D division. This is a fully remote position, offering the flexibility to contribute from anywhere while collaborating with a world-class team of researchers and data scientists. You will be at the forefront of analyzing complex biological datasets, developing novel computational methods, and driving discoveries that have a profound impact on human health. This role requires a visionary leader with a proven track record in bioinformatics, genomics, and advanced statistical analysis.
Responsibilities:
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, with extensive post-doctoral or industry experience. Demonstrated expertise in programming languages (e.g., Python, R, Perl), database management, and cloud computing platforms is crucial. A deep understanding of molecular biology, genetics, and disease mechanisms is highly desirable. This position is critical for advancing our client's understanding of complex biological systems and will involve extensive remote collaboration, impacting research endeavors focused on challenges in Nairobi, Nairobi, KE and beyond.
Responsibilities:
- Lead the design and execution of large-scale genomic and transcriptomic data analyses to identify novel therapeutic targets and biomarkers.
- Develop and implement sophisticated bioinformatics pipelines and algorithms for high-throughput sequencing data.
- Collaborate closely with bench scientists and clinicians to interpret experimental results and guide future research directions.
- Mentor and guide a team of bioinformatics researchers, fostering a culture of innovation and scientific rigor.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological fields, integrating new approaches into research projects.
- Manage data integrity, storage, and access for critical research datasets, ensuring compliance with ethical and regulatory standards.
- Present research findings at international conferences and publish results in high-impact peer-reviewed journals.
- Contribute to grant writing and secure external funding for research projects.
- Engage in cross-functional teams to translate research findings into potential clinical applications.
- Maintain and enhance computational infrastructure and software resources utilized by the bioinformatics team.
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, with extensive post-doctoral or industry experience. Demonstrated expertise in programming languages (e.g., Python, R, Perl), database management, and cloud computing platforms is crucial. A deep understanding of molecular biology, genetics, and disease mechanisms is highly desirable. This position is critical for advancing our client's understanding of complex biological systems and will involve extensive remote collaboration, impacting research endeavors focused on challenges in Nairobi, Nairobi, KE and beyond.
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Lead Bioinformatics Scientist
Posted 25 days ago
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Job Description
Our client is seeking an experienced and innovative Lead Bioinformatics Scientist to spearhead groundbreaking research and development initiatives. This is a fully remote position that requires a candidate with a profound understanding of computational biology, data analysis, and genetic sequencing. You will lead a team of scientists, design and implement complex bioinformatics pipelines, and contribute to the discovery of novel biological insights. The ideal candidate possesses strong programming skills, extensive experience with large-scale biological datasets, and a passion for advancing scientific knowledge. This role offers the opportunity to work on challenging projects that have a significant impact on human health and biological understanding.
Responsibilities:
Qualifications:
Responsibilities:
- Lead and manage bioinformatics projects from conception to completion.
- Develop, optimize, and maintain scalable bioinformatics pipelines for analyzing genomic, transcriptomic, and proteomic data.
- Design and conduct computational experiments to identify patterns, anomalies, and correlations in biological data.
- Collaborate with experimental biologists, geneticists, and other researchers to interpret results and guide experimental design.
- Develop novel algorithms and statistical methods for biological data analysis.
- Supervise and mentor junior bioinformatics scientists and research associates.
- Stay current with the latest advancements in bioinformatics, genomics, and related fields.
- Present research findings at scientific conferences and publish in peer-reviewed journals.
- Ensure data integrity, quality control, and adherence to best practices in data management.
- Contribute to grant proposals and secure funding for research projects.
- Manage computational resources and ensure efficient use of cloud or high-performance computing environments.
- Foster a collaborative and innovative research environment.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7-10 years of experience in bioinformatics research and development, with at least 3 years in a leadership or supervisory role.
- Expertise in analyzing next-generation sequencing (NGS) data (e.g., DNA-seq, RNA-seq, ChIP-seq).
- Proficiency in programming languages such as Python, R, Perl, and shell scripting.
- Strong knowledge of statistical methods and machine learning techniques relevant to biological data.
- Experience with common bioinformatics databases and tools (e.g., NCBI, Ensembl, BLAST, GATK).
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and containerization (Docker, Singularity).
- Excellent problem-solving skills and the ability to tackle complex biological questions with computational approaches.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse scientific teams.
- Proven track record of publications in high-impact journals and presentations at international conferences.
- Experience with data visualization tools and techniques.
- Demonstrated ability to manage projects and deliver results within defined timelines.
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Lead Bioinformatics Scientist - Genomics
Posted 23 days ago
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Job Description
Our client, a cutting-edge biotechnology company at the forefront of genomic research, is seeking an experienced Lead Bioinformatics Scientist to join our fully remote scientific team. This senior position will play a pivotal role in analyzing large-scale genomic datasets, developing novel computational methods, and driving discoveries in our research and development initiatives. You will be responsible for designing and implementing bioinformatics pipelines for next-generation sequencing data, performing complex statistical analyses, and interpreting results to extract meaningful biological insights. Key duties include managing and analyzing diverse genomic data types (e.g., whole-genome sequencing, RNA-Seq, ChIP-Seq), developing custom algorithms and scripts, and collaborating closely with molecular biologists, geneticists, and clinicians to advance our research objectives. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, with a minimum of 7-10 years of relevant post-doctoral experience in bioinformatics research. Proven expertise in statistical genetics, machine learning, and programming languages such as Python and R is essential. Experience with cloud computing platforms (AWS, GCP, Azure) and big data technologies is highly desirable. You must demonstrate exceptional problem-solving skills, a strong publication record, and excellent communication and leadership abilities to guide junior scientists and collaborate effectively with interdisciplinary teams in a remote setting. This is a fully remote position, requiring a self-motivated, highly organized, and scientifically rigorous individual. Candidates located in or near **Eldoret, Uasin Gishu, KE** are welcome to apply. We are looking for a visionary scientist passionate about leveraging computational approaches to unravel the complexities of the genome and make significant contributions to human health, working remotely.
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Lead Bioinformatics Scientist
Posted today
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Job Description
Our client is a pioneering research institution seeking a highly skilled and innovative Lead Bioinformatics Scientist to join their fully remote research team. This role is central to driving cutting-edge research in genomics, proteomics, and other biological sciences through advanced computational analysis. You will be responsible for developing and implementing state-of-the-art bioinformatics pipelines, analyzing large-scale biological datasets, and contributing to high-impact scientific discoveries. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with extensive experience in analyzing complex biological data. You will lead bioinformatics projects, mentor junior scientists, and collaborate with experimental biologists and clinicians to interpret research findings. Key responsibilities include designing and executing complex data analysis workflows, developing novel computational methods, managing bioinformatics databases, and presenting research results at scientific conferences and in publications. We are looking for a strategic thinker with exceptional programming skills (e.g., Python, R, Perl), deep understanding of statistical analysis, machine learning, and experience with high-performance computing environments. This is a fully remote position, offering the flexibility to work from anywhere while contributing to groundbreaking research. You must be a self-starter, capable of working independently, and possess excellent communication and collaboration skills to work effectively with a distributed global team. A strong publication record and experience with various omics technologies are essential. A passion for scientific inquiry and translating complex data into meaningful biological insights is paramount.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement advanced bioinformatics pipelines and algorithms.
- Analyze large-scale genomic, transcriptomic, proteomic, and other biological datasets.
- Develop and apply statistical and machine learning methods for data analysis.
- Collaborate with biologists and clinicians to interpret research findings and generate hypotheses.
- Manage and curate biological databases and knowledge bases.
- Contribute to experimental design and data generation strategies.
- Mentor and supervise junior bioinformatics scientists and research assistants.
- Publish research findings in peer-reviewed scientific journals and present at conferences.
- Ensure data integrity, reproducibility, and adherence to best practices in computational biology.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Contribute to grant writing and securing research funding.
- Develop and maintain computational infrastructure for research projects.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of postdoctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing diverse omics data (e.g., next-generation sequencing data).
- Strong programming skills in Python, R, Perl, or similar languages.
- Deep understanding of statistical modeling, machine learning, and data mining techniques.
- Experience with high-performance computing (HPC) clusters and cloud computing platforms.
- Familiarity with various bioinformatics databases and software tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong written and verbal communication skills for scientific reporting and collaboration.
- Ability to work independently and lead research projects in a remote setting.
- A strong publication record in reputable scientific journals.
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Senior Bioinformatics Scientist
Posted 23 days ago
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Job Description
Our client, a cutting-edge research institution, is seeking a highly motivated and experienced Senior Bioinformatics Scientist to join their fully remote team of researchers and data analysts. This role is pivotal in leveraging advanced computational approaches to analyze complex biological data, driving discoveries in areas such as genomics, proteomics, and systems biology. The successful candidate will work remotely, contributing to impactful scientific endeavors.
Key Responsibilities:
Qualifications and Experience:
Key Responsibilities:
- Design and implement computational pipelines for the analysis of large-scale biological datasets, including next-generation sequencing (NGS) data.
- Develop and apply statistical and machine learning methods to identify patterns, correlations, and biological insights from omics data.
- Collaborate with experimental biologists, geneticists, and clinicians to define research questions and design appropriate bioinformatics analyses.
- Develop and maintain robust, reproducible, and well-documented code and workflows.
- Interpret and communicate complex bioinformatics results to both technical and non-technical audiences.
- Contribute to the development of new algorithms, software tools, and databases for biological data analysis.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Mentor junior bioinformaticians and provide technical guidance.
- Manage and organize large datasets, ensuring data integrity and accessibility.
- Contribute to grant writing and manuscript preparation for publications in peer-reviewed journals.
Qualifications and Experience:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- A minimum of 5 years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing genomic, transcriptomic, proteomic, or other omics data.
- Strong programming skills in languages such as Python, R, or Perl, and experience with relevant bioinformatics libraries and packages.
- Proficiency with command-line interfaces and experience working in high-performance computing (HPC) environments.
- Familiarity with various biological databases (e.g., NCBI, Ensembl, UniProt) and data formats.
- Knowledge of statistical methods and machine learning algorithms applied to biological data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Demonstrated ability to manage research projects and contribute to scientific publications.
- This is a fully remote position, with the administrative location being Kakamega, Kakamega, KE .
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4
Remote Bioinformatics Scientist
Posted 25 days ago
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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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Lead Bioinformatics Scientist - Remote
Posted 25 days ago
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Job Description
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:
Responsibilities:
- Design, develop, and maintain robust bioinformatics pipelines for the analysis of large-scale biological data.
- Perform comprehensive analysis of genomic, transcriptomic, and epigenomic datasets.
- Develop and implement statistical and machine learning models to identify biological patterns and biomarkers.
- Collaborate closely with experimental scientists to design studies and interpret results.
- Visualize complex biological data in an accessible and informative manner.
- Contribute to the writing of scientific manuscripts, grant proposals, and technical documentation.
- Present research findings at internal meetings and external scientific conferences.
- Mentor junior bioinformaticians and data scientists.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological domains.
- Ensure the quality, integrity, and reproducibility of all computational analyses.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 7 years of experience in bioinformatics or computational biology, with a significant portion in a leadership or senior role.
- Expertise in analyzing next-generation sequencing data.
- Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries and frameworks.
- Strong understanding of statistical methods and machine learning techniques.
- Familiarity with common bioinformatics databases and tools.
- Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
- Excellent communication, presentation, and interpersonal skills.
- Ability to manage multiple projects simultaneously in a remote setting.
- Proven ability to work effectively in a collaborative, interdisciplinary team.
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6
Lead Bioinformatics Scientist - Genomics Focus
Posted 24 days ago
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Job Description
Our client is looking for a pioneering Lead Bioinformatics Scientist to spearhead cutting-edge research in genomics and related fields, operating from a fully remote capacity. This critical role will involve developing and implementing advanced computational pipelines for analyzing large-scale genomic, transcriptomic, and proteomic datasets. You will be instrumental in designing innovative analytical strategies to uncover novel biological insights, identify disease biomarkers, and support drug discovery efforts. The successful candidate will leverage their expertise in statistical genetics, machine learning, and data mining to interpret complex biological data and translate findings into actionable research directions. This position requires a strong leadership presence, with the ability to mentor and guide a team of talented bioinformaticians and researchers. You will collaborate closely with experimental biologists, clinicians, and data scientists to drive research projects from conception through to publication. A significant aspect of this role involves staying at the forefront of bioinformatics methodologies and technologies, evaluating new tools and approaches for integration into existing workflows. You will be responsible for managing research projects, ensuring timely delivery of analyses and high-quality results. Excellent communication skills are essential to clearly articulate complex findings to both technical and non-technical audiences, and to foster strong collaborative relationships within a remote setting. The ability to architect scalable and reproducible computational workflows is a must. This is an exceptional opportunity to contribute to groundbreaking scientific discoveries and shape the future of genomic research. Your work will directly impact the understanding of complex biological systems and the development of personalized medicine.
Key Responsibilities:
Key Responsibilities:
- Develop and maintain sophisticated bioinformatics pipelines for high-throughput genomic and transcriptomic data analysis.
- Lead the design and execution of computational analyses for large-scale biological datasets.
- Apply statistical and machine learning methods to identify patterns, biomarkers, and genetic associations.
- Collaborate with experimental teams to interpret results and design follow-up studies.
- Mentor and supervise junior bioinformaticians and research staff.
- Present research findings at scientific conferences and contribute to manuscript preparation.
- Evaluate and implement new bioinformatics tools and technologies.
- Ensure the reproducibility and scalability of computational workflows.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 8 years of relevant experience in bioinformatics, with a strong focus on genomics and transcriptomics.
- Demonstrated expertise in programming languages such as Python, R, and shell scripting.
- Experience with next-generation sequencing (NGS) data analysis platforms and tools (e.g., GATK, STAR, HISAT2).
- Proficiency in statistical modeling, machine learning, and data visualization techniques.
- Proven ability to manage and mentor research teams.
- Excellent communication and presentation skills, with experience presenting to diverse audiences.
- Experience working in a remote research environment is highly beneficial.
- Track record of scientific publications in peer-reviewed journals.
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Senior Bioinformatics Scientist
Posted today
Job Viewed
Job Description
Our client, a pioneering biotechnology research firm, is seeking an exceptionally qualified Senior Bioinformatics Scientist to join their cutting-edge, fully remote R&D team. This remote-first position offers the incredible opportunity to contribute to groundbreaking scientific discoveries from anywhere in Kenya. You will be instrumental in the analysis and interpretation of large-scale biological datasets, including genomics, transcriptomics, and proteomics, to drive research forward. The ideal candidate will possess a deep understanding of computational biology, advanced statistical methods, and extensive experience with bioinformatics tools and pipelines. Your responsibilities will include developing novel algorithms, implementing data analysis workflows, and collaborating closely with molecular biologists, geneticists, and other research scientists. We are looking for a creative problem-solver with strong programming skills (Python, R, Perl), familiarity with high-performance computing environments, and a proven ability to translate complex biological questions into computational solutions. This role demands a meticulous scientist who can contribute significantly to high-impact research projects, publish findings, and potentially mentor junior researchers. Join a dynamic and collaborative team that is at the forefront of scientific innovation, tackling some of the most challenging biological questions of our time.
Responsibilities:
Responsibilities:
- Design, develop, and implement computational and statistical methods for analyzing large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and maintain robust bioinformatics pipelines for data processing, quality control, and analysis.
- Collaborate with experimental biologists and other researchers to define research questions and design appropriate analyses.
- Interpret complex biological data and generate actionable insights to guide research direction.
- Develop and apply machine learning algorithms for biological data analysis and prediction.
- Contribute to the design of high-throughput sequencing experiments and data collection strategies.
- Stay current with the latest advancements in bioinformatics, genomics, and related fields.
- Present research findings at scientific conferences and publish results in peer-reviewed journals.
- Manage computational resources and workflows for efficient data analysis.
- Mentor junior bioinformatics staff and contribute to team knowledge sharing.
- Contribute to grant writing and proposal development.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of experience in bioinformatics research, with a strong publication record.
- Extensive experience in analyzing large-scale genomic, transcriptomic, or proteomic datasets.
- Proficiency in programming languages such as Python, R, and Perl.
- Strong knowledge of statistical methods and machine learning techniques applicable to biological data.
- Experience with high-performance computing (HPC) environments and cloud computing platforms.
- Familiarity with common bioinformatics tools, databases, and software packages.
- Excellent problem-solving skills and ability to think creatively about complex biological challenges.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with data visualization tools.
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Bioinformatics Scientist
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly skilled Bioinformatics Scientist to join their innovative research team. This role offers a hybrid work arrangement, combining the flexibility of remote work with the collaborative benefits of in-office sessions. You will be instrumental in analyzing large-scale biological datasets, developing computational tools, and contributing to groundbreaking discoveries in life sciences. Your responsibilities will include designing and implementing bioinformatics pipelines, performing statistical analysis of genomic and proteomic data, and visualizing complex biological information. You will collaborate closely with biologists, geneticists, and other researchers to interpret findings and drive research forward. The ideal candidate will possess a strong academic background in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a Master's or Ph.D. degree. Proven experience in analyzing next-generation sequencing (NGS) data, including DNA-seq, RNA-seq, and epigenomics, is essential. Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and databases are required. You should have a solid understanding of statistical methods and machine learning techniques as applied to biological data. Excellent problem-solving skills, strong analytical capabilities, and the ability to communicate complex technical concepts clearly are paramount. We are looking for an individual who is detail-oriented, can work independently and as part of a team, and is passionate about leveraging computational approaches to advance biological research. This position offers a stimulating environment for a dedicated scientist to make significant contributions.
Responsibilities:
Qualifications:
Responsibilities:
- Analyze large biological datasets, including genomic, proteomic, and transcriptomic data.
- Develop, optimize, and maintain bioinformatics pipelines and algorithms.
- Perform statistical analysis and machine learning on biological data.
- Visualize complex biological data for interpretation and presentation.
- Collaborate with researchers to design experiments and interpret results.
- Stay abreast of the latest advancements in bioinformatics tools and techniques.
- Contribute to scientific publications and presentations.
Qualifications:
- Master's or Ph.D. in Bioinformatics, Computational Biology, or a related field.
- Proven experience analyzing NGS data (DNA-seq, RNA-seq).
- Proficiency in Python or R and relevant bioinformatics libraries.
- Experience with bioinformatics databases and tools.
- Solid understanding of statistical methods and machine learning.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
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