5 Senior Research Scientist Genomics Bioinformatics jobs in whatjobs
Senior Research Scientist - Genomics & Bioinformatics
Posted 24 days ago
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Job Description
Our client, a leading bioscience research institution, is seeking a highly motivated Senior Research Scientist specializing in Genomics and Bioinformatics. This hybrid role requires a deep expertise in analyzing large-scale genomic datasets and developing cutting-edge bioinformatic pipelines. You will be responsible for designing and executing research projects that leverage next-generation sequencing (NGS) technologies, interpreting complex genomic data, and contributing to novel discoveries in areas such as human disease, agriculture, or evolutionary biology. Key responsibilities include developing and validating bioinformatics tools and algorithms, collaborating with experimental biologists, managing research projects, and publishing findings in high-impact journals. The ideal candidate will have a strong computational biology background, extensive experience with various sequencing platforms, and proficiency in programming languages like Python or R. A proven track record of independent research and successful grant applications is desirable. You must possess excellent analytical skills, meticulous attention to detail, and strong communication abilities to effectively present complex scientific information to both technical and non-technical audiences. This position offers the opportunity to work on transformative research, bridging the gap between genomic data and biological insights, with a balance of remote flexibility and in-lab collaboration for experimental work. Experience with statistical genetics and machine learning applied to biological data is highly advantageous.
Responsibilities:
Responsibilities:
- Design and implement research projects involving large-scale genomic data analysis.
- Develop, optimize, and maintain bioinformatics pipelines for NGS data processing.
- Analyze and interpret genomic datasets (e.g., whole-genome, exome, RNA-Seq).
- Develop and apply statistical methods and machine learning models for biological insights.
- Collaborate with experimental biologists to translate research questions into computational analyses.
- Identify and implement novel bioinformatic tools and algorithms.
- Manage research data integrity and storage.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Mentor junior researchers and students.
- Stay current with advancements in genomics, bioinformatics, and related fields.
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
- Minimum of 6 years of post-doctoral experience in genomics and bioinformatics research.
- Extensive experience with NGS data analysis and various sequencing technologies.
- Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics workflow managers (e.g., Nextflow, Snakemake).
- Strong understanding of statistical genetics, population genetics, and molecular biology.
- Experience with common bioinformatics databases and tools.
- Proven ability to conduct independent research and manage research projects.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- The role requires some on-site presence for experimental work near **Kitale, Trans-Nzoia, KE**, balanced with remote work flexibility.
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Senior Research Scientist - Genomics & Bioinformatics
Posted 24 days ago
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Job Description
Our client is at the forefront of scientific discovery, driving innovation in genomics and bioinformatics. We are seeking a highly skilled and motivated Senior Research Scientist to join our fully remote team. This role is pivotal in designing and executing cutting-edge research projects that leverage advanced genomic technologies and sophisticated bioinformatics analysis to unlock new biological insights. You will be responsible for developing and applying computational tools and methodologies to interpret complex genomic data, identify disease markers, and discover novel therapeutic targets. This position requires a strong background in genomics, bioinformatics, statistical analysis, and a proven ability to lead research initiatives in a collaborative, remote setting.
Key Responsibilities:
Qualifications:
This is a challenging and rewarding opportunity to contribute to groundbreaking scientific research. If you are a visionary scientist with a passion for data-driven discovery, we encourage you to apply.
Key Responsibilities:
- Design and lead research projects focused on analyzing large-scale genomic and transcriptomic datasets.
- Develop and implement novel bioinformatics pipelines and algorithms for data processing, analysis, and visualization.
- Perform statistical analysis of complex biological data to identify significant patterns, correlations, and biomarkers.
- Interpret research findings, draw robust conclusions, and communicate results effectively through reports and presentations.
- Collaborate with experimental biologists, clinicians, and other researchers to integrate multi-omics data and advance scientific understanding.
- Stay current with the latest advancements in genomics, bioinformatics, computational biology, and relevant scientific fields.
- Contribute to the development of intellectual property and scientific publications.
- Mentor junior scientists and research staff, providing guidance on experimental design and data analysis.
- Manage research projects, timelines, and resources efficiently.
- Ensure the quality, integrity, and security of research data.
- Evaluate and adopt new technologies and methodologies to enhance research capabilities.
Qualifications:
- A Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 6 years of relevant research experience, with a focus on genomic data analysis.
- Proven expertise in statistical genetics, population genetics, or functional genomics.
- Proficiency in programming languages such as Python, R, or Perl, and experience with relevant bioinformatics libraries and tools.
- Experience with high-throughput sequencing data analysis (e.g., WGS, WES, RNA-Seq).
- Strong understanding of biological pathways, molecular mechanisms, and disease biology.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong scientific writing and presentation skills.
- Demonstrated ability to lead research projects and collaborate effectively in a remote team environment.
- Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
This is a challenging and rewarding opportunity to contribute to groundbreaking scientific research. If you are a visionary scientist with a passion for data-driven discovery, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
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Senior Research Scientist - Genomics & Bioinformatics
Posted 10 days ago
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Job Description
Our client, a cutting-edge research institution at the forefront of biological discovery, is seeking a highly accomplished Senior Research Scientist specializing in Genomics and Bioinformatics to join their fully remote team. This pivotal role will drive innovative research projects, focusing on the analysis of large-scale genomic datasets to uncover fundamental biological insights and advance potential therapeutic targets. You will be responsible for designing and executing bioinformatics pipelines, developing novel analytical methods, and interpreting complex genomic data, including next-generation sequencing (NGS) data. Your expertise will be crucial in areas such as variant calling, transcriptomics, epigenomics, and population genetics. You will collaborate closely with experimental biologists and other researchers to translate biological questions into computational analyses and to integrate genomic findings with phenotypic data. The ideal candidate will possess a strong publication record, a deep understanding of molecular biology, and advanced computational skills. This position requires a proactive, detail-oriented individual with excellent problem-solving abilities and the capacity to work independently on challenging research questions in a fully remote setting.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced bioinformatics pipelines for analyzing large-scale genomic and transcriptomic data (NGS).
- Perform sophisticated data analysis, including variant identification, gene expression analysis, and pathway analysis.
- Develop and apply novel computational methods for biological data interpretation.
- Integrate diverse biological datasets (genomic, transcriptomic, proteomic, clinical) to derive meaningful insights.
- Collaborate with experimental scientists to design studies and interpret results.
- Stay abreast of the latest advancements in genomics, bioinformatics, and computational biology.
- Present research findings at scientific conferences and publish in peer-reviewed journals.
- Contribute to grant writing and securing research funding.
- Mentor junior researchers and postdoctoral fellows in bioinformatics techniques.
- Ensure data integrity, reproducibility, and proper data management practices.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Molecular Biology, or a related field.
- Minimum of 7 years of post-doctoral research experience in genomics and bioinformatics.
- Proven track record of high-impact publications in reputable scientific journals.
- Extensive experience with various NGS technologies and data types (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and associated libraries/packages.
- Strong experience with command-line environments (Linux/Unix) and high-performance computing clusters.
- Expertise in statistical analysis and machine learning techniques applied to biological data.
- In-depth knowledge of molecular biology principles and biological pathways.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex findings to diverse audiences.
This advertiser has chosen not to accept applicants from your region.
2
Senior Research Scientist - Genomics & Bioinformatics
Posted 1 day ago
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Job Description
Our client is seeking a highly accomplished Senior Research Scientist specializing in Genomics and Bioinformatics to join their innovative research division. This is a fully remote position, enabling you to contribute to groundbreaking scientific discoveries from anywhere. You will be at the forefront of applying advanced computational and statistical methods to large-scale genomic datasets. Your responsibilities will include designing and executing bioinformatics pipelines, developing novel analytical approaches for next-generation sequencing (NGS) data, and interpreting complex genomic variations. This role requires a deep understanding of molecular biology, genetics, and computational biology. You will collaborate with experimental biologists, clinicians, and other researchers to drive research projects forward, from hypothesis generation to data analysis and interpretation. The ideal candidate will have a strong publication record in peer-reviewed journals and expertise in areas such as population genetics, transcriptomics, or epigenomics. You will be responsible for data management, quality control, and the development of robust analytical workflows. Experience with various bioinformatics tools, programming languages (e.g., Python, R), and high-performance computing environments is essential. This is an exceptional opportunity for a motivated scientist to make significant contributions to our understanding of biological systems and disease mechanisms, working in a dynamic and collaborative remote research environment.
Responsibilities:
Responsibilities:
- Design and implement bioinformatics pipelines for the analysis of large-scale genomic and transcriptomic datasets (e.g., whole-genome sequencing, RNA-Seq).
- Develop and apply advanced computational and statistical methods for genomic data analysis.
- Interpret complex genomic variations and their biological significance.
- Collaborate with experimental biologists and clinicians on research projects.
- Manage, curate, and ensure the quality of genomic datasets.
- Develop and maintain robust analytical workflows and software tools.
- Stay current with the latest advancements in genomics, bioinformatics, and relevant computational tools.
- Present research findings at scientific meetings and author publications in peer-reviewed journals.
- Provide bioinformatics support and guidance to other research groups.
- Contribute to grant writing and secure research funding.
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, or a related quantitative field.
- Minimum of 5 years of post-doctoral research experience in genomics and bioinformatics.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and scripting languages (e.g., Bash).
- Experience with common bioinformatics tools and databases (e.g., GATK, PLINK, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical methods and machine learning applied to biological data.
- Experience with high-performance computing (HPC) environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with a proven publication record.
- Ability to work independently and collaboratively in a remote research setting.
This advertiser has chosen not to accept applicants from your region.
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Senior Research Scientist - Genomics & Bioinformatics
Posted 2 days ago
Job Viewed
Job Description
Our client is looking for a highly innovative Senior Research Scientist with expertise in Genomics and Bioinformatics to join their cutting-edge scientific team on a fully remote basis. This role is crucial for advancing our understanding of complex biological systems through the analysis of large-scale genomic data. You will be responsible for designing and conducting computational and experimental research projects, developing novel analytical methodologies, and contributing to publications and intellectual property. Key responsibilities include analyzing next-generation sequencing (NGS) data (e.g., whole-genome, exome, RNA-Seq); developing and implementing bioinformatics pipelines; identifying and validating genetic variants associated with specific traits or diseases; performing statistical genetics analyses; collaborating with bench scientists and clinicians virtually to interpret results; and staying abreast of the latest advancements in genomics and bioinformatics. The ideal candidate will possess a Ph.D. in Genomics, Bioinformatics, Computational Biology, or a related field, with a minimum of 5-7 years of post-doctoral research experience. Demonstrated expertise in programming languages (e.g., Python, R), bioinformatics tools and databases, and statistical analysis methods is required. Experience with cloud computing platforms (AWS, GCP) and machine learning techniques is highly desirable. Excellent communication, presentation, and collaboration skills are essential for effective remote teamwork. This position offers a unique opportunity to make significant contributions to scientific discovery and push the boundaries of genetic research, impacting fields related to health and agriculture across regions like Ongata Rongai, Kajiado, KE , all managed from your remote workstation.
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