1,858 Lead Research Scientist Genomics And Bioinformatics jobs in Kenya
Lead Scientist - Bioinformatics & Genomics
Posted 22 days ago
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Job Description
Our client, a cutting-edge biotechnology research firm, is seeking an accomplished Lead Scientist specializing in Bioinformatics and Genomics to join their fully remote research and development team. This role is central to advancing our understanding of biological systems through the analysis of complex genomic and proteomic data. You will lead a team of bioinformaticians and researchers, driving innovative projects focused on gene sequencing, variant analysis, transcriptomics, and other omics data integration. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field, coupled with extensive hands-on experience in analyzing large-scale biological datasets. We are looking for a visionary leader with a deep understanding of computational algorithms, statistical modeling, and machine learning applications in biological research. This is a remote-first position, requiring exceptional scientific leadership, communication, and collaboration skills to effectively guide a dispersed research team. You will be responsible for designing research strategies, developing novel analytical pipelines, interpreting experimental results, and disseminating findings through publications and presentations. Proficiency in programming languages such as Python, R, and experience with high-performance computing environments are essential. We value candidates who are passionate about scientific discovery, possess strong problem-solving abilities, and are committed to pushing the boundaries of genomics research. Your ability to mentor junior scientists, secure research funding, and foster a collaborative research environment is crucial. This is an unparalleled opportunity to make significant contributions to life sciences research and drug discovery from a remote setting.
Responsibilities:
Responsibilities:
- Lead and mentor a team of bioinformaticians and researchers in genomic and proteomic data analysis.
- Design and implement novel bioinformatics pipelines for large-scale omics data.
- Conduct in-depth analysis of next-generation sequencing (NGS) data, including variant calling, gene expression analysis, and epigenomic studies.
- Develop and apply statistical and machine learning models to biological datasets.
- Collaborate with experimental biologists to interpret results and design future experiments.
- Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology.
- Author and co-author peer-reviewed publications and present research findings at scientific conferences.
- Manage research projects, including resource allocation and timeline management.
- Contribute to grant writing and securing external funding for research initiatives.
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics and genomics research.
- Proven experience leading research projects and mentoring scientific teams.
- Expertise in analyzing NGS data, including WGS, WES, RNA-Seq, and ChIP-Seq.
- Proficiency in programming languages such as Python and R, and associated bioinformatics libraries.
- Experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Strong knowledge of statistical methods and machine learning algorithms.
- Excellent communication, presentation, and collaboration skills for remote teamwork.
- Experience with cloud computing platforms (AWS, GCP) and HPC environments is a plus.
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Lead Research Scientist - Genomics and Bioinformatics
Posted 14 days ago
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Job Description
Our client is seeking a highly accomplished Lead Research Scientist specializing in Genomics and Bioinformatics to spearhead innovative projects within our fully remote R&D division. This position is ideal for a visionary scientist passionate about leveraging cutting-edge computational approaches to unravel complex biological questions. You will lead a globally distributed team of bioinformaticians and computational biologists, driving research initiatives from conception through to publication. Responsibilities include designing and executing genomic data analysis pipelines, developing novel algorithms, and interpreting large-scale datasets (e.g., whole-genome sequencing, RNA-Seq). A deep understanding of statistical genetics, population genetics, and machine learning applications in biology is essential. You will be responsible for curating and managing complex biological databases, ensuring data integrity and accessibility. Collaboration with experimental biologists and clinicians is a core component of this role, requiring strong communication skills to translate computational findings into biological insights. We are looking for an individual with a proven track record of scientific leadership, innovative thinking, and a commitment to publishing high-impact research. This is a remote-first opportunity, demanding excellent self-management and proficiency with virtual collaboration tools. You will play a pivotal role in advancing our understanding of disease mechanisms and identifying potential therapeutic targets. We foster a collaborative and intellectually stimulating environment, encouraging scientific curiosity and pushing the boundaries of discovery. The successful applicant will be a thought leader in the field, contributing significantly to our scientific endeavors. This role is conceptually based in **Garissa, Garissa, KE**, but is performed entirely remotely.
Responsibilities:
Responsibilities:
- Lead and mentor a remote team of bioinformatics scientists.
- Design, develop, and implement advanced genomic data analysis pipelines.
- Analyze large-scale genomic and transcriptomic datasets.
- Develop and apply novel computational methods and algorithms.
- Interpret complex biological data and generate testable hypotheses.
- Collaborate with experimental scientists and clinicians to integrate data.
- Curate and manage biological databases.
- Stay current with advancements in genomics, bioinformatics, and computational biology.
- Publish research findings in high-impact peer-reviewed journals.
- Present research at scientific conferences.
- PhD in Bioinformatics, Computational Biology, Genomics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in genomics and bioinformatics.
- Proven track record of scientific leadership and project management.
- 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.
- Strong knowledge of statistical methods and machine learning in biology.
- Experience with relevant bioinformatics tools and databases (e.g., UCSC Genome Browser, Ensembl, NCBI).
- Excellent communication, collaboration, and presentation skills.
- Ability to thrive in a fully remote research environment.
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Lead Research Scientist - Bioinformatics & Genomics
Posted 19 days ago
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Job Description
Our client, a pioneering research institution, is seeking an innovative Lead Research Scientist with expertise in Bioinformatics and Genomics. This is a fully remote position, allowing you to contribute groundbreaking research from any location within Kenya. You will lead critical research projects focused on leveraging advanced genomic data analysis to understand complex biological systems and drive discoveries in fields such as personalized medicine, disease research, and agricultural biotechnology. Your responsibilities will include designing and implementing computational pipelines for analyzing large-scale genomic datasets (e.g., whole-genome sequencing, RNA-seq, epigenomics), developing novel algorithms and statistical methods, and interpreting research findings. You will manage a team of bioinformaticians and data scientists, providing technical guidance, mentoring, and ensuring the highest standards of scientific rigor. Collaboration with bench scientists, clinicians, and other research groups will be essential to integrate computational insights with experimental data and drive research hypotheses. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field, coupled with a strong publication record and extensive experience in leading research initiatives. Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with high-performance computing environments are required. This role demands exceptional problem-solving skills, a deep understanding of molecular biology, and the ability to communicate complex scientific concepts clearly. You must be a self-starter, capable of working autonomously and leading complex, interdisciplinary projects in a remote setting.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design and execution of bioinformatics and genomics research projects.
- Develop and optimize computational pipelines for analyzing large-scale omics data.
- Apply statistical methods and machine learning techniques to biological data.
- Interpret complex genomic data to identify patterns, biomarkers, and novel insights.
- Supervise and mentor a team of bioinformaticians and research assistants.
- Collaborate with experimental biologists, clinicians, and other researchers to integrate findings.
- Develop and validate new algorithms and analytical tools.
- Manage research infrastructure, including databases and high-performance computing resources.
- Contribute to grant writing and secure research funding.
- Disseminate research findings through publications and presentations at scientific conferences.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Statistics, or a related field.
- Minimum of 7 years of post-doctoral or industry research experience in bioinformatics and genomics.
- Demonstrated experience in leading research teams and managing complex projects.
- Strong publication record in peer-reviewed journals.
- Expertise in analyzing various types of genomic data (e.g., WGS, WES, RNA-seq, ChIP-seq).
- Proficiency in programming languages such as Python, R, and scripting languages (e.g., Bash).
- Experience with high-performance computing (HPC) environments and cloud computing platforms.
- Solid understanding of molecular biology, genetics, and statistical principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional written and verbal communication skills.
- Ability to work independently and lead effectively in a remote research environment.
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Lead Research Scientist - Bioinformatics and Genomics
Posted 6 days ago
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Job Description
Our client, a groundbreaking leader in scientific research and development, is seeking an exceptional Lead Research Scientist specializing in Bioinformatics and Genomics to join their fully remote research team. This position is ideal for a visionary scientist who thrives in a collaborative, virtual environment and is passionate about unraveling complex biological questions through cutting-edge computational approaches. You will be instrumental in designing and executing large-scale genomic and transcriptomic analyses, developing novel bioinformatics pipelines, and interpreting results to drive discoveries in areas such as personalized medicine and disease mechanisms. The role demands a strong theoretical foundation combined with practical expertise in handling and analyzing massive datasets. You will work closely with molecular biologists, geneticists, and clinicians, providing crucial computational insights and strategic direction for research projects. This fully remote role requires excellent communication skills, the ability to present complex findings to diverse audiences, and a proactive approach to tackling challenging research problems. As a Lead Scientist, you will also mentor junior researchers, contribute to grant writing, and stay abreast of the latest advancements in bioinformatics, genomics, and related fields. We are looking for an innovative thinker who can translate biological hypotheses into testable computational experiments and drive research initiatives from conception to publication. Your contributions will have a significant impact on advancing scientific knowledge and developing transformative solutions. The ability to manage projects, collaborate effectively across disciplines, and maintain high scientific rigor in a remote setting is essential. Our client is committed to fostering a stimulating and inclusive research environment where talent can flourish, regardless of physical location. This is a unique opportunity to lead impactful research in a remote capacity, shaping the future of biological discovery.
Responsibilities:
Responsibilities:
- Lead the design, execution, and interpretation of large-scale genomics, transcriptomics, and epigenomics studies.
- Develop, optimize, and implement novel bioinformatics pipelines and algorithms for next-generation sequencing data analysis.
- Collaborate with experimental biologists and clinicians to define research questions and design appropriate computational strategies.
- Analyze and interpret complex biological data, identifying key insights and deriving testable hypotheses.
- Present research findings at internal meetings, scientific conferences, and through peer-reviewed publications.
- Mentor and guide junior scientists and research associates in bioinformatics and data analysis.
- Contribute to grant proposals and secure funding for research projects.
- Stay current with the latest advancements in bioinformatics, genomics, machine learning, and related computational biology fields.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
- Manage multiple research projects concurrently, ensuring timely delivery of results.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related quantitative field.
- A minimum of 8 years of post-doctoral research experience in bioinformatics or computational genomics.
- Demonstrated expertise in analyzing diverse omics data (e.g., WGS, WES, RNA-seq, ChIP-seq).
- Proficiency in programming languages such as Python, R, and scripting languages (e.g., Bash).
- Strong experience with bioinformatics tools, databases, and software packages (e.g., GATK, STAR, DESeq2, etc.).
- Experience with high-performance computing (HPC) environments and cloud computing platforms (AWS, GCP).
- Excellent understanding of statistical principles and machine learning techniques applicable to biological data.
- Proven track record of scientific publications in reputable journals.
- Exceptional communication, presentation, and interpersonal skills, with the ability to thrive in a remote, collaborative setting.
- Strong leadership and project management capabilities.
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Lead Bioinformatics Scientist - Genomics
Posted 20 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 - Genomics Focus
Posted 21 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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Remote Lead Bioinformatics Scientist - Genomics
Posted 12 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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Lead Bioinformatics Scientist - Genomics (Remote)
Posted 22 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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Lead Bioinformatics Scientist - Genomics Research
Posted 11 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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Lead Scientific Researcher - Molecular Biology
Posted 22 days ago
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Job Description
Our client, a cutting-edge research institution focused on infectious diseases, is looking for a visionary Lead Scientific Researcher specializing in Molecular Biology. This is a fully remote position, offering the opportunity to contribute to groundbreaking discoveries from anywhere in the world. You will lead a team of talented researchers, design and execute complex experiments, analyze data, and publish findings in high-impact journals. The ideal candidate possesses a deep understanding of molecular mechanisms, extensive experience with advanced laboratory techniques, and a passion for advancing scientific knowledge.
Responsibilities:
Responsibilities:
- Conceptualize, design, and execute innovative research projects in molecular biology, focusing on novel therapeutic targets.
- Lead and mentor a diverse team of scientists, fostering a collaborative and productive research environment.
- Develop and optimize advanced molecular biology techniques, including CRISPR-Cas9, next-generation sequencing, and gene expression analysis.
- Analyze and interpret large datasets using bioinformatics tools and statistical methods.
- Prepare manuscripts for publication in peer-reviewed journals and present research findings at international conferences.
- Secure grant funding through writing compelling proposals and collaborating with funding agencies.
- Ensure compliance with ethical standards and laboratory safety protocols.
- Stay current with the latest advancements in molecular biology and related fields.
- Collaborate with cross-functional teams and external partners on research initiatives.
- Ph.D. in Molecular Biology, Genetics, Biochemistry, or a related field.
- A minimum of 10 years of post-doctoral research experience with a strong publication record.
- Proven leadership experience managing research teams and projects.
- Extensive hands-on experience with a broad range of molecular biology techniques and instrumentation.
- Proficiency in bioinformatics tools and statistical analysis software.
- Demonstrated success in obtaining grant funding.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work autonomously and drive research initiatives forward in a remote setting.
- A strategic thinker with a strong ability to solve complex scientific problems.
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