1,745 Lead Data Scientist Bioinformatics jobs in Kenya
Lead Research Scientist - Bioinformatics
Posted 21 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 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 Research Scientist - Bioinformatics & Genomics
Posted 18 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 (Remote)
Posted 21 days ago
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Job Description
Our client is a cutting-edge scientific research organization seeking a highly innovative and experienced Lead Research Scientist specializing in Bioinformatics to join their globally distributed team. This is a fully remote position, allowing you to contribute to groundbreaking research from your home office. You will be responsible for designing and executing complex bioinformatics analyses, developing novel computational methods, and leading research projects focused on unraveling biological mysteries through data. The ideal candidate possesses a deep understanding of genomics, transcriptomics, proteomics, and other '-omics' data types, coupled with strong programming skills and a passion for scientific discovery. Key Responsibilities:
- Design, develop, and implement advanced bioinformatics pipelines and algorithms for analyzing large-scale biological datasets (e.g., next-generation sequencing data).
- Lead research projects, from conceptualization to publication, focusing on key areas such as disease mechanism, drug discovery, or personalized medicine.
- Analyze and interpret complex genomic, transcriptomic, proteomic, and metabolomic data to extract meaningful biological insights.
- Develop and apply statistical and machine learning methods to biological problems.
- Collaborate with biologists, clinicians, and other researchers to define research questions and experimental designs.
- Develop and maintain robust, scalable, and reproducible computational workflows.
- Contribute to grant writing and secure external funding for research initiatives.
- Mentor and guide junior scientists and research assistants.
- Present research findings at national and international conferences and publish results in high-impact peer-reviewed journals.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Manage computational resources and ensure efficient data storage and processing.
- Contribute to the development of software tools and databases for the research community.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral or industry experience in bioinformatics research.
- Demonstrated expertise in analyzing various 'omics' datasets (genomics, transcriptomics, proteomics, etc.).
- Proficiency in programming languages such as Python, R, and/or Perl, and experience with relevant bioinformatics libraries and frameworks.
- Strong knowledge of statistical methods and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing (HPC) environments.
- Excellent communication, collaboration, and leadership skills.
- Proven track record of publications in leading scientific journals and presentations at conferences.
- Ability to work independently, manage multiple research projects, and drive scientific innovation in a remote setting.
- Experience with database management and data warehousing is a plus.
- Familiarity with genome browsers and biological databases (e.g., Ensembl, NCBI).
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Remote Lead Research Scientist - Bioinformatics
Posted 21 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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Lead Data Scientist - Bioinformatics
Posted 21 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 Research Scientist - Genomics and Bioinformatics
Posted 13 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 Data Scientist - Bioinformatics (Remote)
Posted 12 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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Remote Lead Data Scientist - Bioinformatics
Posted 13 days ago
Job Viewed
Job Description
Our client is a cutting-edge scientific research organization seeking a highly motivated and experienced Lead Data Scientist specializing in Bioinformatics. This role is crucial for driving innovation in genomic data analysis and drug discovery, conducted entirely within a remote, collaborative environment. You will lead a team of data scientists and bioinformaticians, developing and applying advanced computational methods to large-scale biological datasets. The ideal candidate possesses a strong background in genomics, statistical modeling, machine learning, and experience with high-performance computing. This is a remote-first position, requiring exceptional leadership and communication skills.
Key Responsibilities:
Key Responsibilities:
- Lead and mentor a team of data scientists and bioinformaticians in the analysis of complex biological data.
- Develop and implement state-of-the-art computational and statistical methods for genomic, proteomic, and transcriptomic data analysis.
- Design and execute analyses to identify novel biomarkers, therapeutic targets, and disease mechanisms.
- Collaborate with research scientists, biologists, and clinicians to define research questions and data analysis strategies.
- Build and maintain scalable data pipelines for processing and analyzing large biological datasets.
- Apply machine learning techniques to predictive modeling, classification, and pattern recognition in biological systems.
- Ensure the reproducibility and rigor of all data analyses performed.
- Present research findings to scientific audiences, management, and external stakeholders.
- Contribute to grant writing and publication of research results.
- Evaluate and adopt new technologies and methodologies in bioinformatics and data science.
- Manage project timelines and resources effectively within a remote team structure.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Statistics, or a related field.
- Minimum of 7 years of experience in data science with a specialization in bioinformatics.
- Proven experience leading data science or bioinformatics teams.
- Expertise in analyzing large-scale genomic, transcriptomic, or proteomic datasets.
- Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and databases.
- Strong knowledge of statistical modeling, machine learning, and deep learning techniques.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Exceptional communication, presentation, and interpersonal skills for effective remote collaboration.
- Demonstrated ability to work independently and manage multiple complex projects.
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8
Lead Bioinformatics Data Scientist
Posted 18 days ago
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Job Description
Our client, a forward-thinking research institution, is seeking an exceptional Lead Bioinformatics Data Scientist to spearhead innovative projects. This position is entirely remote, offering the flexibility to work from anywhere while contributing to groundbreaking scientific discoveries originating from our base in Kakamega, Kakamega, KE . You will be instrumental in designing, developing, and implementing advanced computational and statistical analyses of large-scale biological datasets. This includes genomic, transcriptomic, proteomic, and metabolomic data, aiming to uncover novel insights into complex biological systems and disease mechanisms. The role demands a sophisticated understanding of bioinformatics pipelines, machine learning algorithms, and data visualization techniques. You will lead a team of talented researchers, guiding them through data interpretation, experimental design, and the application of cutting-edge analytical methods. Strong programming skills in Python or R, experience with cloud computing platforms (AWS, GCP, Azure), and proficiency in handling high-performance computing environments are essential. Collaboration will be key, as you will interact closely with molecular biologists, geneticists, and other domain experts to translate biological questions into tractable computational problems and to communicate research findings effectively.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design and execution of bioinformatics analyses for diverse biological datasets.
- Develop and optimize scalable computational pipelines for genomic and other omics data.
- Apply machine learning and statistical modeling techniques to identify patterns and generate hypotheses.
- Mentor and guide junior data scientists and bioinformaticians.
- Collaborate with experimental researchers to interpret results and plan future studies.
- Develop and maintain robust documentation for all code, pipelines, and analytical methods.
- Present research findings at scientific conferences and in peer-reviewed publications.
- Manage project timelines and resources effectively in a remote setting.
Qualifications:
- A Ph.D. or Master's degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related quantitative field.
- A minimum of 7 years of progressive experience in bioinformatics research and data analysis.
- Proven experience leading research projects and managing teams.
- Expertise in programming languages such as Python and R, and associated bioinformatics libraries.
- Strong knowledge of biological databases, sequence alignment tools, and variant calling algorithms.
- Experience with cloud computing platforms and big data technologies.
- Demonstrated ability to develop and apply machine learning models.
- Excellent problem-solving and analytical skills.
- Superior communication and interpersonal skills for effective remote teamwork.
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