2,273 Lead Research Scientist Bioinformatics jobs in Kenya
Remote Lead Scientist - Bioinformatics and Computational Biology
Posted 19 days ago
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Job Description
Our client is a cutting-edge research organization seeking a highly experienced and visionary Remote Lead Scientist to spearhead their Bioinformatics and Computational Biology initiatives. This is a fully remote position, allowing you to drive scientific discovery from your dedicated home office. You will lead a team of bioinformaticians and computational biologists in developing and applying advanced analytical methods to large-scale biological datasets, including genomics, transcriptomics, and proteomics. Your primary responsibilities will include designing complex computational experiments, developing novel algorithms and pipelines for data analysis, and interpreting results to uncover biological insights. You will be instrumental in establishing and maintaining robust bioinformatics infrastructure and workflows, ensuring data integrity and reproducibility. Collaboration with experimental biologists, clinicians, and other research groups will be a key aspect of your role, translating biological questions into computational approaches and providing critical data-driven insights. Experience with high-performance computing environments, cloud computing platforms, and various programming languages (e.g., Python, R, Perl) is essential. You will also be responsible for staying abreast of the latest advancements in bioinformatics and computational biology, identifying new research opportunities, and contributing to grant proposals and publications. The ideal candidate will have a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field, with a strong publication record and a proven track record of leading successful research projects. Excellent leadership, communication, and project management skills are required to effectively mentor your team and collaborate with diverse scientific groups. This is an exceptional opportunity to contribute to groundbreaking research and shape the direction of bioinformatics at a leading institution, all while enjoying the unparalleled flexibility of remote work. Your expertise will directly influence the understanding of complex biological systems and the development of new diagnostics and therapeutics. We are looking for a scientifically rigorous individual with a passion for innovation and a commitment to advancing the field of computational biology. The ability to think critically, solve complex problems, and communicate scientific findings clearly to both technical and non-technical audiences is paramount. Your leadership will foster a collaborative and productive research environment for your remote team.
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Lead Scientist - Bioinformatics
Posted 13 days ago
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Job Description
Our client is actively seeking an exceptional Lead Scientist specializing in Bioinformatics to spearhead groundbreaking research initiatives. This is a fully remote opportunity, allowing you to contribute your expertise to cutting-edge scientific endeavors without geographical constraints. You will be responsible for designing and implementing advanced computational strategies to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. Your role will involve developing and optimizing bioinformatics pipelines, establishing best practices for data management and analysis, and collaborating closely with experimental biologists, computational biologists, and other research scientists to interpret complex biological questions. The ideal candidate will possess a deep understanding of molecular biology, genetics, and statistics, coupled with extensive experience in programming languages such as Python, R, and shell scripting. You should be proficient in using various bioinformatics tools and databases, and have experience with high-performance computing environments. This position requires strong leadership skills, the ability to mentor junior scientists, and a proven track record of scientific publication and project leadership. You will be expected to stay abreast of the latest advancements in bioinformatics and genomics, and to propose innovative approaches to address challenging research questions. This role is perfect for a self-motivated and highly organized individual who thrives in a collaborative, remote research environment. We are looking for a visionary scientist who can drive research forward, generate high-impact results, and contribute to the scientific community through innovative research and thought leadership. The successful candidate will have a passion for discovery and a commitment to advancing scientific knowledge through sophisticated data analysis.
Responsibilities:
Responsibilities:
- Lead the development and implementation of computational and statistical methodologies for analyzing complex biological data.
- Design and execute bioinformatics analyses for genomics, transcriptomics, proteomics, and other omics data.
- Develop and maintain robust bioinformatics pipelines and workflows.
- Collaborate with interdisciplinary research teams to address key scientific questions.
- Interpret analysis results and translate them into biological insights.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Mentor and guide junior bioinformatics staff.
- Present research findings at scientific conferences and in peer-reviewed publications.
- Stay current with emerging technologies and methodologies in bioinformatics and related fields.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of experience in bioinformatics research, with a strong publication record.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Extensive experience with bioinformatics tools, algorithms, and databases (e.g., BLAST, SAMtools, GATK, Ensembl).
- Experience with statistical analysis and machine learning methods applied to biological data.
- Familiarity with high-performance computing clusters and cloud computing environments.
- Strong understanding of molecular biology and genetics.
- Excellent problem-solving, analytical, and communication skills.
- Proven ability to lead research projects and mentor junior scientists in a remote setting.
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Lead Scientist - Bioinformatics & Genomics
Posted 20 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 - Bioinformatics
Posted 20 days ago
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Job Description
Our client, a cutting-edge biotechnology research organization, is seeking a highly skilled and innovative Lead Research Scientist specializing in Bioinformatics to join their globally distributed, remote-first team. This role is pivotal in driving our research initiatives forward, analyzing complex biological datasets, and contributing to groundbreaking discoveries. The successful candidate will possess a strong academic background, extensive experience in computational biology, and a proven track record of leading research projects.
Responsibilities:
Responsibilities:
- Lead and conduct advanced bioinformatics analysis of large-scale genomic, transcriptomic, and proteomic datasets.
- Develop and implement novel computational methods and algorithms for biological data interpretation.
- Collaborate closely with interdisciplinary research teams, including biologists, geneticists, and clinicians, to design experiments and interpret results.
- Manage and mentor a team of junior bioinformaticians and data analysts.
- Oversee the integration and management of diverse biological databases and data pipelines.
- Ensure the accuracy, reproducibility, and scalability of bioinformatics workflows.
- Present research findings at scientific conferences and publish in peer-reviewed journals.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Contribute to grant writing and the acquisition of research funding.
- Maintain a high standard of scientific rigor and ethical conduct in all research activities.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in bioinformatics or computational biology.
- Demonstrated 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.
- Experience with common bioinformatics tools and pipelines (e.g., GATK, STAR, Samtools, DESeq2).
- Strong understanding of statistical modeling and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, GCP) and containerization (e.g., Docker).
- Proven ability to manage research projects and lead a team effectively.
- Excellent written and verbal communication skills, with a strong publication record.
- Experience in a remote research setting is a significant advantage.
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Lead Research Scientist - Bioinformatics and Genomics
Posted 5 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 Research Scientist - Bioinformatics & Genomics
Posted 17 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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5
Lead Research Scientist, Bioinformatics - Remote
Posted 21 days ago
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Job Description
Our client, a cutting-edge research institution, is actively seeking a Lead Research Scientist in Bioinformatics to spearhead their fully remote scientific endeavors. This critical role will involve leading advanced computational research projects, developing novel algorithms, and analyzing large-scale biological datasets to drive scientific discovery. The ideal candidate will hold a Ph.D. in Bioinformatics, Computer Science, Statistics, or a closely related field, with a proven track record of leadership in bioinformatics research and significant contributions to the scientific community. You will be instrumental in guiding a distributed team of bioinformaticians and data scientists, fostering innovation, and ensuring the integrity and impact of their research outputs. This is a remote-first position, requiring exceptional analytical, programming, and problem-solving skills, alongside the ability to communicate complex findings effectively to diverse audiences in a virtual setting.
Key Responsibilities:
This is a fully remote opportunity, offering the flexibility to work from anywhere. We are seeking a highly skilled and visionary scientist with exceptional programming proficiency (e.g., Python, R, C++) and extensive experience with relevant bioinformatics databases and software. The ability to lead effectively, foster collaboration, and drive innovation in a remote environment is essential. If you are an experienced bioinformatics leader looking to make a significant impact on transformative research, we encourage you to apply. Join our client's pioneering research initiatives and contribute to advancing scientific frontiers remotely, supporting projects that may be associated with areas like Embu, Embu, KE .
Key Responsibilities:
- Lead and manage complex bioinformatics research projects from conception to completion.
- Develop, implement, and optimize computational tools, pipelines, and algorithms for analyzing diverse biological data (genomics, transcriptomics, proteomics, etc.).
- Analyze large-scale datasets using advanced statistical and machine learning techniques.
- Collaborate with experimental biologists and other domain experts to define research questions and interpret results.
- Supervise and mentor a team of remote bioinformaticians and data scientists.
- Contribute to the writing of peer-reviewed publications, grant proposals, and technical documentation.
- Present research findings at international conferences and internal scientific meetings.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and data science.
- Ensure the reproducibility and scalability of computational analyses.
- Drive the strategic direction of the bioinformatics group within the organization.
This is a fully remote opportunity, offering the flexibility to work from anywhere. We are seeking a highly skilled and visionary scientist with exceptional programming proficiency (e.g., Python, R, C++) and extensive experience with relevant bioinformatics databases and software. The ability to lead effectively, foster collaboration, and drive innovation in a remote environment is essential. If you are an experienced bioinformatics leader looking to make a significant impact on transformative research, we encourage you to apply. Join our client's pioneering research initiatives and contribute to advancing scientific frontiers remotely, supporting projects that may be associated with areas like Embu, Embu, KE .
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Remote Lead Research Scientist - Bioinformatics
Posted 20 days ago
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Job Description
Our client is seeking a visionary and highly accomplished Lead Research Scientist specializing in Bioinformatics to join their innovative, fully remote research team. This is a critical leadership role focused on advancing our understanding of biological systems through sophisticated computational analysis. You will be responsible for designing and executing large-scale bioinformatics projects, developing novel analytical methodologies, and leading a team of talented scientists. The ideal candidate will have a profound expertise in genomics, transcriptomics, proteomics, and the application of machine learning in biological research.
Responsibilities:
Responsibilities:
- Lead the design and implementation of complex bioinformatics research projects, from hypothesis generation to data analysis and interpretation.
- Develop and apply state-of-the-art computational and statistical methods for analyzing high-throughput biological data (e.g., next-generation sequencing, mass spectrometry).
- Manage and mentor a team of bioinformatics scientists, fostering a collaborative and productive research environment.
- Oversee the development and maintenance of bioinformatics pipelines and databases.
- Collaborate with experimental biologists, clinicians, and other researchers to integrate computational findings with biological context.
- Stay at the forefront of scientific literature, identifying emerging trends and technologies in bioinformatics and related fields.
- Present research findings at international conferences and contribute to high-impact publications.
- Contribute to grant writing and secure research funding.
- Ensure the reproducibility and rigor of all computational analyses.
- Develop and implement strategies for data management, quality control, and standardization.
- Evaluate and adopt new bioinformatics tools and software as needed.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 10 years of postdoctoral research experience in bioinformatics, with a significant portion in a leadership or principal investigator role.
- Extensive experience with programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Deep understanding of genomic, transcriptomic, proteomic, and metabolomic data analysis.
- Proven experience with machine learning and statistical modeling techniques applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) for large-scale data analysis.
- Demonstrated success in publishing in high-impact peer-reviewed journals.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work effectively in a remote, collaborative team setting.
- Experience managing research projects and mentoring junior scientists.
- Expertise in statistical genetics and population genetics is a plus.
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7
Lead Data Scientist - Bioinformatics
Posted 20 days ago
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Job Description
Our client is a cutting-edge scientific research organization looking for a Lead Data Scientist specializing in Bioinformatics to join their innovative, fully remote team. This position offers an exceptional opportunity to shape the future of biological discovery through advanced data analytics and computational approaches. You will lead projects focused on analyzing large-scale genomic, proteomic, and transcriptomic datasets to uncover novel biological insights, identify disease biomarkers, and develop personalized medicine strategies. Your expertise will be critical in designing and implementing sophisticated statistical models and machine learning algorithms to interpret complex biological data. This role requires a deep understanding of biological processes and the ability to translate scientific questions into data-driven solutions. Key Responsibilities:
- Lead the development and application of bioinformatics pipelines and analytical methodologies.
- Design and execute statistical analyses and machine learning models for high-throughput biological data.
- Collaborate with biologists, geneticists, and other researchers to define project goals and interpret results.
- Develop and maintain robust code for data processing, analysis, and visualization.
- Mentor and guide junior data scientists and bioinformatics analysts.
- Contribute to the dissemination of findings through publications and presentations.
- Evaluate and implement new bioinformatics tools and technologies.
- Ensure data integrity, reproducibility, and ethical handling of sensitive biological information.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in bioinformatics and data science, with a strong focus on biological data.
- Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries (e.g., Biopython, Bioconductor).
- Hands-on experience with various data types including next-generation sequencing (NGS), microarrays, and mass spectrometry.
- Demonstrated experience in statistical modeling, machine learning, and data visualization.
- Strong understanding of molecular biology, genetics, and genomics.
- Excellent problem-solving skills and ability to work independently in a remote setting.
- Proven leadership and project management capabilities.
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Lead Data Scientist - Bioinformatics (Remote)
Posted 11 days ago
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Job Description
Our client, a pioneering scientific research and development firm at the forefront of biotechnology, is seeking a highly accomplished Lead Data Scientist specializing in Bioinformatics to join their world-class, fully remote R&D team. This pivotal role will drive the analysis of complex biological datasets, leading to groundbreaking discoveries and advancements in our client's research initiatives. You will leverage your expertise in statistical modeling, machine learning, and computational biology to extract meaningful insights from genomic, proteomic, and transcriptomic data. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, or a closely related field, coupled with extensive experience in leading data science projects within a research setting. You will be responsible for designing analytical frameworks, developing predictive models, and translating complex findings into actionable scientific strategies. This position demands exceptional technical acumen, strong leadership capabilities, and the ability to foster innovation in a collaborative, remote environment. We are looking for individuals who are passionate about scientific discovery, possess strong programming skills (e.g., Python, R), and are adept at utilizing big data technologies and cloud computing platforms. The ability to mentor junior scientists, communicate complex results to diverse audiences, and drive research agendas independently is crucial. This is an unparalleled opportunity to contribute to cutting-edge research that has the potential to revolutionize healthcare and life sciences. You will play a key role in shaping our client's scientific direction and advancing their mission to solve critical global health challenges. Success in this role is measured by the impact of your research findings, the development of novel analytical approaches, and the successful translation of data insights into tangible scientific breakthroughs. We expect candidates to have a robust publication record and a deep understanding of current trends in bioinformatics and data-driven scientific research.
Responsibilities:
Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale biological datasets.
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze genomic, proteomic, transcriptomic, and other relevant biological data.
- Collaborate with experimental biologists and other research scientists to interpret findings.
- Develop pipelines and tools for data processing, analysis, and visualization.
- Mentor and guide junior data scientists and researchers in bioinformatics techniques.
- Present research findings and insights to scientific teams and stakeholders.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant technologies.
- Contribute to grant proposals and scientific publications.
- Ensure data integrity, reproducibility, and adherence to best practices in computational science.
- Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 8 years of post-doctoral or industry experience in bioinformatics and data science.
- Proven track record of leading complex data science projects in a research environment.
- Extensive experience with programming languages such as Python and R, and associated bioinformatics libraries.
- Expertise in analyzing high-throughput sequencing data (e.g., NGS).
- Strong understanding of statistical methods, machine learning, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP) is highly desirable.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work independently, manage research priorities, and lead effectively in a remote setting.
- A strong publication record in peer-reviewed journals.
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