What Jobs are available for Senior Bioinformatics Scientist Remote in Kenya?
Showing 2840 Senior Bioinformatics Scientist Remote jobs in Kenya
Senior Bioinformatics Scientist, Remote
Posted 27 days ago
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Job Description
Our client is looking for a highly motivated and experienced Senior Bioinformatics Scientist to join their cutting-edge research and development team. This is a fully remote position, allowing you to contribute to groundbreaking scientific discoveries from the comfort of your home office.
Responsibilities:
Responsibilities:
- Analyze and interpret large-scale genomic, proteomic, and transcriptomic datasets using advanced bioinformatics tools and pipelines.
- Develop and implement novel computational methods and algorithms for biological data analysis.
- Collaborate closely with biologists, geneticists, and other researchers to design experiments and interpret results.
- Integrate diverse biological datasets to uncover new insights into disease mechanisms and therapeutic targets.
- Develop and maintain reproducible analysis workflows and databases.
- Stay current with the latest advancements in bioinformatics, genomics, and related fields.
- Communicate research findings effectively through presentations, publications, and reports.
- Mentor junior scientists and provide technical guidance on bioinformatics approaches.
- Contribute to grant proposals and secure funding for research projects.
- Troubleshoot and resolve complex technical challenges in data analysis.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics research.
- Demonstrated expertise in analyzing high-throughput sequencing data (e.g., NGS, RNA-Seq, ChIP-Seq).
- Proficiency in programming languages such as Python, R, Perl, or Java, and experience with bioinformatics libraries.
- Strong knowledge of biological databases (e.g., GenBank, Ensembl, UniProt) and associated tools.
- Experience with statistical analysis, machine learning, and data visualization techniques applied to biological data.
- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) for large-scale data analysis is a plus.
- Excellent problem-solving skills and a rigorous scientific approach.
- Strong written and verbal communication skills, with the ability to present complex data clearly.
- Proven ability to work independently and collaboratively in a remote team environment.
- A passion for advancing biological understanding through computational approaches.
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0
Senior Bioinformatics Scientist (Remote)
Posted 1 day ago
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Job Description
Our client is seeking a highly skilled and motivated Senior Bioinformatics Scientist to join their cutting-edge research and development team. This is a fully remote position, offering the flexibility to work from anywhere, but the role is conceptually anchored to Embu, Embu, KE . The ideal candidate will have a PhD or Master's degree in Bioinformatics, Computational Biology, Genetics, or a related field, coupled with extensive experience in analyzing large-scale biological datasets. You will be instrumental in designing and implementing computational strategies to extract meaningful insights from genomic, proteomic, and transcriptomic data. Responsibilities include developing and applying algorithms for data processing, feature extraction, and statistical modeling. You will work on diverse research projects, including but not limited to, gene expression analysis, variant calling, pathway analysis, and the development of predictive models. Collaboration with experimental biologists, clinicians, and other computational scientists is a key aspect of this role. The ability to interpret complex biological questions and translate them into computational workflows is crucial. Experience with various programming languages such as Python, R, and Perl, along with expertise in using bioinformatics databases and tools (e.g., BLAST, Ensembl, UCSC Genome Browser), is essential. Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments is highly desirable. You should have a strong publication record in peer-reviewed journals and experience in presenting research findings at scientific conferences. This role requires a proactive individual with excellent problem-solving skills and the ability to work independently in a remote, fast-paced research environment. The successful candidate will contribute significantly to the advancement of our client's scientific endeavors and have a direct impact on future research directions.
Responsibilities:
Responsibilities:
- Design and execute computational analyses of large-scale genomic and molecular datasets.
- Develop, optimize, and maintain bioinformatics pipelines and workflows.
- Collaborate with cross-functional teams to address complex biological research questions.
- Perform statistical analysis and machine learning to identify patterns and build predictive models.
- Contribute to the interpretation of results and the generation of scientific publications.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Mentor junior scientists and contribute to team knowledge sharing.
- Manage research projects, ensuring timely delivery of results and adherence to best practices.
- Utilize cloud computing and HPC resources effectively for data analysis.
- PhD or Master's degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 7 years of post-graduate experience in bioinformatics or computational biology.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Strong knowledge of statistical methods and machine learning techniques.
- Experience with bioinformatics databases, tools, and software packages.
- Familiarity with cloud computing platforms and HPC environments.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and interpersonal skills, with the ability to present complex information clearly.
- Proven ability to work independently and as part of a collaborative remote team.
- A strong publication record in relevant scientific journals.
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1
Senior Bioinformatics Scientist - Remote Genomics
Posted 24 days ago
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Job Description
Our client, a pioneering biotechnology company at the forefront of genomic research, is seeking a Senior Bioinformatics Scientist to join their esteemed, fully remote R&D division. This is an exceptional opportunity to contribute to groundbreaking discoveries by applying advanced computational and statistical methods to complex genomic datasets. The successful candidate will play a crucial role in the design, analysis, and interpretation of large-scale genomic studies, leading to novel insights in disease mechanisms and therapeutic development. We are looking for an individual with a profound understanding of bioinformatics pipelines, strong programming skills, and a proven ability to drive research projects to completion. The ideal candidate will thrive in a collaborative, remote-first environment, leveraging cutting-edge tools and techniques to push the boundaries of genomic science.
Responsibilities:
Responsibilities:
- Design and implement bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including WGS, WES, RNA-Seq, and epigenomic data.
- Develop and apply statistical and machine learning methods for the identification of genetic variants, gene expression patterns, and regulatory elements.
- Collaborate closely with biologists, geneticists, and clinicians to interpret genomic findings and their biological significance.
- Develop custom software tools and scripts to facilitate data analysis and visualization.
- Manage and process large-scale genomic datasets, ensuring data integrity and quality control.
- Contribute to the design of genomic experiments and clinical trials.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Mentor junior bioinformatics staff and contribute to team development.
- Evaluate and integrate new bioinformatics tools and technologies into existing workflows.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- 5-8 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics.
- Expertise in analyzing various NGS data types and utilizing standard bioinformatics tools (e.g., GATK, BWA, STAR, SAMtools).
- Proficiency in programming languages such as Python, R, and Bash.
- Strong understanding of statistical concepts and machine learning algorithms relevant to biological data.
- Experience with cloud computing platforms (AWS, GCP, Azure) for large-scale data analysis is highly desirable.
- Excellent communication, collaboration, and problem-solving skills.
- Proven track record of leading bioinformatics projects and delivering impactful results.
- Experience with molecular biology techniques and pathways is a plus.
- Publications in reputable scientific journals are expected.
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2
Lead Bioinformatics Scientist (Remote)
Posted 5 days ago
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Job Description
Our client, a pioneering biotechnology firm, is seeking a highly motivated and experienced Lead Bioinformatics Scientist to join their groundbreaking, fully remote research and development team. This pivotal role involves leveraging advanced computational and statistical techniques to analyze complex biological datasets, driving innovation in our client's scientific endeavors. The successful candidate will play a key role in designing and implementing bioinformatics pipelines, interpreting large-scale genomic and proteomic data, and contributing to the discovery of novel therapeutic targets.
Responsibilities:
Qualifications:
This position, based in **Ongata Rongai, Kajiado, KE**, offers a fully remote work arrangement, enabling you to contribute to cutting-edge scientific discovery from anywhere.
Responsibilities:
- Develop, optimize, and maintain robust bioinformatics pipelines for analyzing next-generation sequencing (NGS) data (e.g., whole-genome, exome, RNA-Seq).
- Perform in-depth analysis of genomic, transcriptomic, proteomic, and metabolomic data to identify key biological insights and biomarkers.
- Collaborate closely with molecular biologists, geneticists, and clinicians in a remote setting to address complex biological questions.
- Design and execute computational experiments to test hypotheses and validate findings.
- Develop and implement statistical models and machine learning algorithms for data analysis and prediction.
- Present research findings clearly and concisely to both technical and non-technical audiences.
- Mentor junior bioinformatics staff and contribute to the overall scientific strategy.
- Stay current with the latest advancements in bioinformatics, genomics, and relevant computational tools.
- Manage data integrity, security, and compliance with relevant regulations.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 7 years of hands-on experience in bioinformatics research, with a significant focus on data analysis.
- Proficiency in programming languages such as Python, R, and PERL.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser, TCGA).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Excellent communication and collaboration skills, essential for thriving in a remote work environment.
- Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
- Demonstrated ability to lead research projects and mentor team members.
This position, based in **Ongata Rongai, Kajiado, KE**, offers a fully remote work arrangement, enabling you to contribute to cutting-edge scientific discovery from anywhere.
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3
Principal Bioinformatics Scientist (Remote)
Posted 10 days ago
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Job Description
Our client is actively searching for a distinguished Principal Bioinformatics Scientist to spearhead groundbreaking research initiatives within their virtual R&D department. This is a fully remote position, allowing you to contribute to cutting-edge scientific advancements from anywhere in the world. You will play a pivotal role in the design, development, and implementation of complex bioinformatic pipelines and analytical strategies for large-scale genomic and transcriptomic datasets. Responsibilities encompass leading bioinformatics projects from conceptualization to completion, mentoring junior scientists, collaborating with interdisciplinary teams of biologists, statisticians, and computational experts, and staying abreast of the latest trends and technologies in bioinformatics and computational biology. The ideal candidate will possess extensive experience in analyzing diverse biological data types, including next-generation sequencing (NGS) data, and a deep understanding of statistical methods and machine learning algorithms relevant to biological research. Proficiency in programming languages such as Python or R, along with experience in database management and high-performance computing environments, is crucial. You should have a proven track record of publishing research findings in reputable scientific journals and presenting at international conferences. This role demands strong leadership qualities, excellent problem-solving abilities, and the capacity to articulate complex scientific concepts clearly and concisely. We are looking for an individual who can drive innovation, provide strategic direction for bioinformatics efforts, and contribute significantly to the discovery of novel biological insights and therapeutic targets. A Ph.D. in Bioinformatics, Computer Science, Statistics, or a related quantitative field is required. If you are passionate about leveraging computational approaches to unravel biological mysteries and seeking a challenging, impactful remote role, we encourage you to apply. Your expertise will be instrumental in advancing our client's research agenda and making a tangible difference in the scientific community.
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4
Lead Bioinformatics Scientist - Remote
Posted 1 day ago
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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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5
Senior Bioinformatics Scientist - Genomics (Remote)
Posted 9 days ago
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Job Description
Our client, a leading biotechnology research institute, is seeking a highly skilled Senior Bioinformatics Scientist with expertise in genomics to join their cutting-edge, fully remote research and development team. This position is vital for the analysis of large-scale genomic datasets, development of novel analytical pipelines, and contribution to groundbreaking scientific discoveries. You will collaborate with molecular biologists, geneticists, and other researchers to interpret complex biological data and translate findings into actionable insights. The ideal candidate possesses a strong computational background, deep knowledge of bioinformatics tools and algorithms, and a proven ability to manage complex research projects independently in a remote setting.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Analyze and interpret large-scale genomic, transcriptomic, and epigenomic datasets using advanced bioinformatics tools and statistical methods.
- Develop, implement, and validate new bioinformatics pipelines and algorithms for data analysis and visualization.
- Collaborate with experimental biologists to design studies, define data analysis strategies, and interpret results.
- Manage and curate biological databases, ensuring data integrity and accessibility.
- Develop computational models to understand biological processes and identify potential therapeutic targets.
- Stay abreast of the latest advancements in genomics, bioinformatics, and computational biology.
- Prepare manuscripts for publication in peer-reviewed journals and present findings at scientific conferences.
- Mentor junior bioinformatics staff and contribute to the development of computational resources and training materials.
- Ensure reproducibility and best practices in all computational analyses.
- Work closely with IT and data management teams to ensure efficient data storage and computational infrastructure.
- Contribute to grant writing and the development of new research proposals.
Qualifications:
- A Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics.
- Proven expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Proficiency in programming languages such as Python, R, and/or Perl, and experience with relevant bioinformatics libraries.
- Experience with Unix/Linux operating systems and high-performance computing environments.
- Knowledge of common bioinformatics databases (e.g., NCBI, Ensembl, UCSC Genome Browser) and tools (e.g., BLAST, STAR, GATK).
- Strong statistical and machine learning skills.
- Excellent problem-solving, analytical, and critical thinking abilities.
- Superb written and verbal communication skills, with the ability to present complex technical information clearly.
- Demonstrated ability to work independently, manage multiple projects, and meet deadlines in a remote research environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
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6
Senior Research Scientist - Bioinformatics - Remote
Posted 16 days ago
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Job Description
Our client is a leading innovator in the scientific research and development sector, and we are seeking a highly motivated Senior Research Scientist specializing in Bioinformatics. This is a fully remote position, allowing you to contribute to groundbreaking research from your preferred location. You will play a pivotal role in analyzing large-scale biological datasets, developing novel computational methods, and driving scientific discovery. The ideal candidate will possess a strong background in computational biology, bioinformatics, and statistical analysis, coupled with a passion for unraveling complex biological questions.
Key Responsibilities:
Qualifications:
This is an exciting opportunity to contribute to cutting-edge research in the field. While our research hub is located in Ongata Rongai, Kajiado, KE , this role is fully remote, offering significant flexibility.
Key Responsibilities:
- Design and execute computational analyses of complex biological datasets, including genomics, transcriptomics, and proteomics data.
- Develop and implement novel algorithms and software tools for biological data analysis and interpretation.
- Collaborate with experimental biologists and clinicians to address key research questions and design studies.
- Interpret and present complex scientific findings to both technical and non-technical audiences.
- Manage and maintain bioinformatics databases and pipelines.
- Stay at the forefront of advancements in bioinformatics, genomics, and related fields.
- Mentor junior researchers and contribute to a collaborative research environment.
- Contribute to the writing of grant proposals and scientific publications.
- Ensure the reproducibility and rigor of all computational analyses.
- Optimize existing bioinformatics workflows for efficiency and scalability.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 8 years of post-doctoral research experience in bioinformatics or computational biology.
- Proven expertise in analyzing large-scale omics data (e.g., next-generation sequencing).
- Proficiency in programming languages such as Python, R, and shell scripting.
- Strong understanding of statistical methods and machine learning relevant to biological data.
- Experience with various bioinformatics databases, tools, and reference genomes.
- Excellent written and verbal communication skills, with a track record of scientific publications.
- Demonstrated ability to work independently and as part of a remote, multidisciplinary team.
- Strong problem-solving and critical thinking abilities.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
This is an exciting opportunity to contribute to cutting-edge research in the field. While our research hub is located in Ongata Rongai, Kajiado, KE , this role is fully remote, offering significant flexibility.
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7
Lead Bioinformatics Scientist - Genomics (Remote)
Posted 4 days ago
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Job Description
Our client is a pioneering research institution seeking a highly accomplished Lead Bioinformatics Scientist with extensive experience in genomics to join their cutting-edge, fully remote Scientific Research & Development team. This critical role will drive the analysis of large-scale genomic datasets, contributing to groundbreaking discoveries in molecular biology and disease research. The ideal candidate will possess a strong background in computational biology, statistical genetics, and programming, coupled with a proven ability to lead projects and mentor junior scientists. You will be instrumental in developing and applying advanced bioinformatics pipelines, contributing to hypothesis generation, experimental design, and interpretation of results. This is an unparalleled opportunity to advance scientific frontiers in a collaborative, remote setting.
Responsibilities:
Responsibilities:
- Lead the design and implementation of bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., whole-genome, exome, RNA-Seq).
- Develop and apply advanced computational and statistical methods for the analysis of genomic and transcriptomic data.
- Interpret complex genomic data to identify disease-associated genes, regulatory elements, and molecular pathways.
- Collaborate closely with experimental biologists, clinicians, and other researchers to define research questions and design experiments.
- Develop and maintain robust codebases and workflows using languages such as Python, R, and Perl.
- Manage and curate large biological databases and ensure data integrity.
- Mentor and guide junior bioinformaticians and research staff.
- Present research findings at scientific conferences and contribute to publications in peer-reviewed journals.
- Evaluate and integrate new bioinformatics tools and technologies to enhance research capabilities.
- Contribute to grant writing and securing funding for research projects.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a related field.
- Minimum of 7-10 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics.
- Demonstrated expertise in analyzing large-scale NGS data and applying statistical genetics methods.
- Proficiency in programming languages such as Python, R, and/or Perl, and experience with workflow management systems (e.g., Snakemake, Nextflow).
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments.
- Strong understanding of molecular biology, genetics, and genomics.
- Proven leadership and project management skills, with the ability to mentor junior scientists.
- Excellent communication and presentation skills, with a track record of scientific publications.
- Ability to work independently and collaboratively in a fully remote team environment.
- This position is fully remote, supporting research initiatives relevant to institutions and challenges in the region of Bungoma, Bungoma, KE .
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8
Senior Research Scientist - Bioinformatics - Remote
Posted 1 day ago
Job Viewed
Job Description
Our client is a pioneering research institution seeking a highly accomplished Senior Research Scientist specializing in Bioinformatics. This is a fully remote position, offering the opportunity to contribute to cutting-edge scientific discoveries from anywhere. You will be instrumental in analyzing complex biological datasets and driving new research initiatives.
Responsibilities:
Responsibilities:
- Design and implement advanced bioinformatics pipelines for analyzing genomic, transcriptomic, and proteomic data.
- Develop and apply statistical and machine learning models to interpret large-scale biological datasets.
- Collaborate with biologists, clinicians, and other scientists to define research questions and experimental designs.
- Develop and validate novel computational methods and algorithms for biological data analysis.
- Manage and curate biological databases, ensuring data integrity and accessibility.
- Supervise and mentor junior researchers and bioinformaticians.
- Prepare manuscripts for publication in high-impact scientific journals and present findings at international conferences.
- Contribute to grant writing and secure funding for research projects.
- Stay abreast of the latest advancements in genomics, bioinformatics, and related fields.
- Ensure reproducibility and transparency in all computational analyses.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 7 years of post-doctoral or industry experience in bioinformatics research.
- Extensive experience with programming languages such as Python, R, and Perl.
- Proven expertise in analyzing next-generation sequencing (NGS) data.
- Deep understanding of biological pathways, molecular biology, and genomics.
- Experience with cloud computing platforms (AWS, GCP, Azure) for large-scale data analysis.
- Strong statistical modeling and machine learning skills.
- Excellent scientific writing and presentation skills.
- Demonstrated ability to lead research projects and mentor junior scientists.
- Experience working effectively in a remote, collaborative research environment.
- Proficiency with version control systems (e.g., Git).
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