2,669 Lead Bioinformatics Scientist jobs in Kenya
Lead Bioinformatics Scientist
Posted 22 days ago
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Job Description
Our client is looking for an innovative and experienced Lead Bioinformatics Scientist to join their Scientific Research & Development team. This role offers a hybrid work model, combining the flexibility of remote work with essential in-person collaboration at our Kericho, Kericho, KE facilities. You will be responsible for the design, development, and implementation of cutting-edge bioinformatics pipelines and analytical methods to support our client's research initiatives. This includes analyzing large-scale omics data (genomics, transcriptomics, proteomics), developing predictive models, and interpreting complex biological datasets. You will lead a team of bioinformatics specialists, providing scientific guidance, mentorship, and project management. Your expertise will be crucial in identifying novel biological insights, supporting drug discovery, and advancing our understanding of complex biological systems. Responsibilities include data quality control, algorithm development, statistical analysis, and visualization of results. You will collaborate closely with biologists, chemists, and other research scientists, presenting findings at internal meetings and scientific conferences. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a proven track record of independent research and publication. Extensive experience with programming languages (Python, R, Perl), bioinformatics databases, and analysis tools is essential. Familiarity with machine learning techniques and cloud computing platforms is highly desirable. Excellent communication and leadership skills are required to effectively guide the team and collaborate across disciplines. If you are passionate about using computational approaches to solve challenging biological problems and thrive in a dynamic research environment, this hybrid role offers a unique opportunity to contribute to groundbreaking scientific advancements.
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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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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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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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Lead Bioinformatics Scientist - Genomics Research
Posted 14 days ago
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Job Description
Our client, a leading research institution at the forefront of genomic discovery, is seeking a highly accomplished Lead Bioinformatics Scientist to spearhead their computational genomics research. This is a fully remote position, offering an exceptional opportunity to contribute to groundbreaking scientific advancements from your home office. You will be responsible for designing and implementing advanced bioinformatics pipelines and algorithms to analyze large-scale genomic and transcriptomic datasets. This includes developing and applying computational methods for variant calling, gene expression analysis, pathway analysis, and genome assembly. You will lead a team of bioinformaticians, providing scientific guidance, mentorship, and technical expertise. Collaboration with experimental biologists, clinicians, and other researchers is critical to interpret findings and drive research projects forward. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a strong publication record in genomics and bioinformatics. A minimum of 7 years of post-doctoral research experience in bioinformatics, with a significant focus on genomics, is required. Proven expertise in programming languages such as Python and R, and experience with high-performance computing environments and relevant bioinformatics tools and databases (e.g., BLAST, ENSEMBL, UCSC Genome Browser) are essential. Strong analytical and statistical skills, coupled with excellent communication and leadership abilities, are paramount for success in this role. You will be expected to secure funding, present research findings at conferences, and contribute to the strategic direction of the bioinformatics group. As a remote lead, you will utilize sophisticated collaboration and data management tools to ensure seamless project execution and team coordination. Our client is committed to fostering a collaborative and innovative research environment, providing challenging opportunities for impactful scientific discovery.
Responsibilities:
Responsibilities:
- Lead and manage bioinformatics projects related to genomics and transcriptomics.
- Develop and implement novel bioinformatics pipelines and algorithms for analyzing large-scale sequencing data.
- Perform computational analysis of genomic, transcriptomic, and epigenomic data.
- Supervise and mentor a team of bioinformaticians and research staff.
- Collaborate with experimental scientists and clinicians to interpret research findings.
- Design and conduct computational experiments to test hypotheses.
- Contribute to grant writing and secure research funding.
- Present research results at national and international conferences.
- Maintain and manage bioinformatics databases and computational infrastructure.
- Stay current with the latest advancements in bioinformatics and genomics.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in bioinformatics, with a focus on genomics.
- Strong publication record in peer-reviewed journals.
- Proficiency in programming languages like Python, R, and Perl.
- Experience with high-performance computing clusters and cloud computing platforms.
- Expertise in standard bioinformatics tools, databases, and analytical techniques.
- Excellent analytical, statistical, and problem-solving skills.
- Strong leadership, communication, and interpersonal skills.
- Ability to manage multiple research projects and mentor junior scientists.
- Experience with data visualization tools and techniques.
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Remote Lead Bioinformatics Scientist
Posted 22 days ago
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Job Description
Our client is seeking a highly experienced and visionary Remote Lead Bioinformatics Scientist to drive cutting-edge research. This is a fully remote position, offering the opportunity to lead groundbreaking projects from anywhere in the world. The successful candidate will be responsible for the design, development, and implementation of bioinformatics pipelines and analytical workflows for complex biological datasets, including genomics, transcriptomics, and proteomics. You will oversee a team of bioinformaticians, providing technical guidance, mentorship, and strategic direction. Key responsibilities include analyzing large-scale omics data, developing novel computational methods, and interpreting biological findings to advance scientific discovery. A deep understanding of statistical genetics, machine learning, and algorithm development is essential. Proficiency in programming languages such as Python and R, along with experience in relevant bioinformatics tools and databases, is mandatory. You will collaborate closely with experimental biologists, clinicians, and other research scientists to define research questions and develop appropriate computational approaches. Strong project management skills are required to lead multiple research projects simultaneously, ensuring timely delivery of high-quality results. We are looking for an exceptional communicator, capable of presenting complex scientific information clearly and effectively to diverse audiences, including scientific peers and funding agencies. The ability to work independently, manage a remote team, and foster a collaborative research environment is crucial. A proven track record of publications in high-impact journals and successful grant applications is highly desirable. This role offers a unique opportunity to shape the future of research within the vibrant scientific community associated with Kisumu, Kisumu, KE , all while enjoying the benefits of a fully remote work setup.
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Lead Bioinformatics Scientist - Remote
Posted today
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Job Description
Our client, a cutting-edge scientific research institution, is seeking a highly motivated Lead Bioinformatics Scientist to spearhead their computational biology initiatives. This is a 100% remote role, enabling you to contribute your expertise in data analysis and interpretation from anywhere. You will be instrumental in developing and applying advanced bioinformatics tools to complex biological datasets, driving discovery in critical research areas.
Responsibilities:
Qualifications:
This is an exciting opportunity for a seasoned bioinformatics leader to shape research outcomes remotely. The role is based in Nyeri, Nyeri, KE , but operates entirely remotely.
Responsibilities:
- Lead the design and implementation of bioinformatics pipelines for the analysis of large-scale genomic, transcriptomic, proteomic, and other omics data.
- Develop and apply statistical and machine learning methods to extract meaningful biological insights from complex datasets.
- Collaborate with bench scientists, clinicians, and other researchers to define research questions and experimental designs amenable to bioinformatics analysis.
- Develop and maintain databases and data management strategies for biological data.
- Create custom scripts and software tools to automate data analysis workflows.
- Interpret results, generate visualizations, and communicate findings effectively to both technical and non-technical audiences.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Mentor and guide junior bioinformatics staff and collaborators.
- Contribute to grant writing and the preparation of scientific publications.
- Ensure the integrity, reproducibility, and scalability of bioinformatics analyses.
- Manage multiple bioinformatics projects simultaneously, ensuring timely delivery of results.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics or computational biology research.
- Strong proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or Java.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser, TCGA).
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Solid understanding of statistical methods and machine learning algorithms applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing environments is desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts.
- Proven ability to lead projects and collaborate effectively in a remote research setting.
- A passion for leveraging computational approaches to solve biological challenges.
This is an exciting opportunity for a seasoned bioinformatics leader to shape research outcomes remotely. The role is based in Nyeri, Nyeri, KE , but operates entirely remotely.
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Lead Bioinformatics Scientist - Genomics (Remote)
Posted 25 days ago
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Job Description
Our client is looking for a highly accomplished Lead Bioinformatics Scientist with expertise in genomics to join their pioneering, fully remote research and development team. This critical role will involve the development and application of computational approaches to analyze large-scale genomic datasets. You will lead projects focused on identifying genetic variations, understanding gene expression patterns, and elucidating biological pathways relevant to disease mechanisms and therapeutic development. Your responsibilities will include designing bioinformatics pipelines, implementing advanced analytical methods, interpreting complex results, and contributing to scientific publications and grant proposals. You will collaborate closely with molecular biologists, geneticists, and other researchers in a virtual setting, driving innovation in genomic research.
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field. A minimum of 7-10 years of post-doctoral research or relevant industry experience in bioinformatics, with a strong specialization in genomics, is required. Proven expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq) using established bioinformatics tools and pipelines (e.g., GATK, STAR, Cufflinks) is essential. Proficiency in programming languages such as Python, R, and shell scripting, along with experience in high-performance computing environments, is necessary. Strong statistical and machine learning skills are highly desirable. Excellent communication, collaboration, and project leadership abilities are paramount for success in this remote role. You should be adept at interpreting and presenting complex scientific data to both technical and non-technical audiences. This is a unique opportunity to make significant contributions to cutting-edge scientific research and development for our client, supporting crucial work originating from the Kisumu, Kisumu, KE area.
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field. A minimum of 7-10 years of post-doctoral research or relevant industry experience in bioinformatics, with a strong specialization in genomics, is required. Proven expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq) using established bioinformatics tools and pipelines (e.g., GATK, STAR, Cufflinks) is essential. Proficiency in programming languages such as Python, R, and shell scripting, along with experience in high-performance computing environments, is necessary. Strong statistical and machine learning skills are highly desirable. Excellent communication, collaboration, and project leadership abilities are paramount for success in this remote role. You should be adept at interpreting and presenting complex scientific data to both technical and non-technical audiences. This is a unique opportunity to make significant contributions to cutting-edge scientific research and development for our client, supporting crucial work originating from the Kisumu, Kisumu, KE area.
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Remote Lead Bioinformatics Scientist - Genomics
Posted 15 days ago
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Job Description
Our client, a pioneering life sciences research institution, is seeking a highly motivated and experienced Lead Bioinformatics Scientist to spearhead their genomic research initiatives. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking discoveries from the comfort of your home office. The successful candidate will lead the design, development, and implementation of bioinformatics pipelines for large-scale genomic and transcriptomic data analysis. You will be responsible for managing a portfolio of research projects, mentoring junior scientists, and collaborating with a multidisciplinary team of molecular biologists, geneticists, and computational biologists. Key responsibilities include the analysis of next-generation sequencing (NGS) data, including whole-genome sequencing, exome sequencing, and RNA-Seq, to identify genetic variations, gene expression patterns, and regulatory elements. You will develop and apply statistical methods and machine learning algorithms to uncover biological insights and drive hypothesis generation. The role also involves the curation and integration of genomic databases, ensuring data integrity and accessibility.
Essential duties will encompass:
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related quantitative field, with at least 8 years of post-doctoral research experience focusing on genomic data analysis. Demonstrated expertise in programming languages such as Python and R, and proficiency with bioinformatics tools and databases (e.g., GATK, Samtools, ENSEMBL, UCSC Genome Browser) are mandatory. Experience with big data technologies and cloud platforms (AWS, GCP) is highly desirable. You should possess strong statistical and analytical skills, excellent problem-solving abilities, and a proven track record of successfully managing research projects. Exceptional communication and teamwork skills are essential for effective collaboration in a remote setting. This position offers the chance to make a significant impact on scientific understanding and therapeutic development in a dynamic and intellectually stimulating environment.
Essential duties will encompass:
- Leading the analysis of complex genomic datasets to identify disease-associated genes and pathways.
- Developing and optimizing computational tools and algorithms for high-throughput sequencing data analysis.
- Designing and executing bioinformatics workflows for variant calling, genotyping, and comparative genomics.
- Interpreting results in the context of biological mechanisms and experimental design.
- Collaborating with experimental teams to guide study design and data interpretation.
- Presenting research findings at scientific conferences and publishing in peer-reviewed journals.
- Managing cloud computing resources and ensuring efficient data storage and processing.
- Providing technical leadership and mentorship to a team of bioinformatics researchers.
- Staying current with the rapidly evolving field of genomics and bioinformatics.
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related quantitative field, with at least 8 years of post-doctoral research experience focusing on genomic data analysis. Demonstrated expertise in programming languages such as Python and R, and proficiency with bioinformatics tools and databases (e.g., GATK, Samtools, ENSEMBL, UCSC Genome Browser) are mandatory. Experience with big data technologies and cloud platforms (AWS, GCP) is highly desirable. You should possess strong statistical and analytical skills, excellent problem-solving abilities, and a proven track record of successfully managing research projects. Exceptional communication and teamwork skills are essential for effective collaboration in a remote setting. This position offers the chance to make a significant impact on scientific understanding and therapeutic development in a dynamic and intellectually stimulating environment.
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