What Jobs are available for Bioinformatics Specialists in Kenya?
Showing 2387 Bioinformatics Specialists jobs in Kenya
Senior Bioinformatics Scientist, Machine Learning
Posted 3 days ago
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Job Description
Our client is seeking a highly skilled Senior Bioinformatics Scientist with a strong background in Machine Learning to contribute to their pioneering Scientific Research & Development initiatives. This is a fully remote position, enabling you to collaborate with a world-class team from any location. You will be at the forefront of applying advanced computational and statistical methods, particularly machine learning algorithms, to analyze complex biological datasets, such as genomics, proteomics, and transcriptomics, to extract meaningful insights and accelerate scientific discovery. Your responsibilities will include developing and validating novel ML models for tasks like disease prediction, drug target identification, and biomarker discovery. You will work closely with experimental biologists and other computational scientists, translating biological questions into computational problems and vice versa. Essential skills include proficiency in programming languages like Python or R, along with extensive experience using ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and bioinformatics toolkits. Experience in handling and processing large biological datasets, including next-generation sequencing data, is crucial. The ideal candidate will have a solid understanding of biological principles and a passion for leveraging data to unravel complex biological systems. This remote role emphasizes strong communication and collaboration skills, the ability to present complex findings clearly, and a proactive approach to problem-solving. You will also contribute to the design and implementation of robust computational pipelines and data management strategies. Staying abreast of the latest advancements in bioinformatics, machine learning, and computational biology is paramount. This is a unique opportunity to significantly impact cutting-edge research in a remote-first environment. While fully remote, an understanding of the research community and data science hubs relevant to the **Bungoma, Bungoma, KE** region may offer valuable context.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models for biological data analysis.
- Apply advanced statistical and computational methods to analyze omics data (genomics, proteomics, etc.).
- Identify potential disease markers, drug targets, and predictive biomarkers.
- Collaborate with biologists and chemists to define research questions and translate them into computational workflows.
- Process and manage large-scale biological datasets, including next-generation sequencing data.
- Develop and maintain robust bioinformatics pipelines and software tools.
- Validate and benchmark ML models for accuracy and reproducibility.
- Present research findings to both technical and non-technical audiences.
- Stay current with emerging trends in bioinformatics and machine learning.
- Contribute to scientific publications and grant proposals.
- Ph.D. or Master's degree in Bioinformatics, Computer Science, Statistics, Computational Biology, or a related field.
- 5+ years of hands-on experience in bioinformatics and machine learning applications.
- Expertise in Python or R, and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Proven experience with diverse biological datasets, including genomic and transcriptomic data.
- Strong understanding of biological concepts and experimental design.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for a remote team environment.
- Track record of scientific publication is highly desirable.
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0
Senior Machine Learning Engineer - Bioinformatics
Posted 17 days ago
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Job Description
Our client, a pioneering force in leveraging artificial intelligence for biological discovery and healthcare innovation, is seeking an accomplished Senior Machine Learning Engineer with a specialization in Bioinformatics to join their dynamic, fully remote research and development team. This exciting role will involve the design, implementation, and deployment of advanced machine learning models to tackle complex challenges in genomics, drug discovery, and personalized medicine. You will be instrumental in developing predictive models for biological pathways, analyzing high-throughput screening data, and building algorithms that accelerate scientific breakthroughs. The ideal candidate possesses a strong foundation in machine learning, deep learning, statistical modeling, and a deep understanding of biological data types and analysis techniques. Your responsibilities will include collaborating with bioinformaticians and biologists, translating research needs into scalable ML solutions, and optimizing model performance for real-world applications. This position is entirely remote, requiring a highly motivated, technically adept, and collaborative individual who thrives in an innovative research environment. Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn are essential. Experience working with large-scale biological datasets (e.g., genomic sequences, gene expression data) and a strong understanding of bioinformatics tools and databases are highly valued. You will play a key role in advancing the frontiers of bioinformatics through cutting-edge ML applications, contributing to impactful discoveries that improve human health, all from the convenience of a remote work setup. The successful applicant will demonstrate creativity, a rigorous scientific approach, and a passion for interdisciplinary collaboration.
Responsibilities:
Responsibilities:
- Design, develop, and deploy machine learning models for bioinformatics applications.
- Analyze large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop predictive models for biological processes, disease states, and drug efficacy.
- Collaborate with bioinformatics and domain experts to define ML project goals.
- Implement and optimize ML algorithms using Python and relevant frameworks.
- Evaluate model performance and ensure scalability and robustness.
- Contribute to research publications and scientific presentations.
- Stay current with advancements in machine learning and bioinformatics.
- Mentor junior engineers and contribute to knowledge sharing.
- Ensure code quality, documentation, and adherence to best practices.
- Master's or Ph.D. in Computer Science, Bioinformatics, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in machine learning engineering, with a focus on bioinformatics.
- Strong experience in developing and deploying ML models (e.g., deep learning, SVMs, random forests).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with biological data analysis and bioinformatics tools.
- Solid understanding of statistical modeling and data mining techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for remote teamwork.
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1
Research Scientist - Bioinformatics
Posted 9 days ago
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Job Description
Our client is seeking a highly motivated and innovative Research Scientist specializing in Bioinformatics to join our fully remote scientific team. This role is at the forefront of data-driven biological discovery, where you will analyze large-scale genomic, proteomic, and transcriptomic datasets to uncover novel insights and drive research objectives. You will be responsible for developing and implementing computational methods and algorithms to process, analyze, and interpret complex biological data. The ideal candidate will have a strong background in molecular biology, genetics, or a related life science field, combined with advanced computational skills. You will collaborate with bench scientists and other researchers to design experiments, define analytical strategies, and interpret results. Experience with programming languages such as Python or R, and familiarity with bioinformatics databases and tools (e.g., BLAST, GATK, STAR, Kallisto, various R packages) are essential. This position requires a proactive approach to problem-solving, the ability to stay current with the latest advancements in bioinformatics and computational biology, and excellent communication skills to present findings effectively to diverse audiences. The fully remote nature of this position allows for flexible work arrangements and the opportunity to contribute to groundbreaking research from anywhere.
Responsibilities:
Qualifications:
Responsibilities:
- Design and execute computational analyses of large biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop, optimize, and apply bioinformatics pipelines and algorithms.
- Perform statistical analysis and interpretation of experimental data.
- Collaborate with experimental scientists to integrate computational and experimental findings.
- Contribute to the design of new research studies and experiments.
- Identify and implement novel computational approaches to address research questions.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Prepare manuscripts for publication and present findings at scientific conferences.
- Maintain detailed and organized records of analyses and results.
- Mentor junior researchers in computational methodologies.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related field.
- Demonstrated experience in analyzing large-scale biological datasets.
- Proficiency in programming languages such as Python, R, or Perl.
- Familiarity with standard bioinformatics tools and databases.
- Strong understanding of statistical methods applicable to biological data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple projects in a remote setting.
- Strong written and verbal communication skills for scientific collaboration and dissemination.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
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2
Principal Research Scientist - Bioinformatics
Posted 16 days ago
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Job Description
Our client is a cutting-edge biotechnology firm at the forefront of scientific discovery, seeking a highly accomplished Principal Research Scientist specializing in Bioinformatics to join their fully remote research and development team. This senior role is critical for driving innovative research by applying computational approaches to complex biological data. You will be responsible for developing and implementing advanced algorithms and pipelines for the analysis of large-scale genomic, transcriptomic, and proteomic data. The ideal candidate will possess a profound understanding of molecular biology, genetics, and computational statistics, coupled with extensive experience in programming languages such as Python, R, or Perl, and familiarity with bioinformatics tools and databases. You should be adept at designing experiments, interpreting complex biological datasets, and contributing to high-impact publications and patent applications. This remote-first position offers the opportunity to contribute to groundbreaking scientific research from anywhere in the world, collaborating with a world-class team of scientists and researchers.
Responsibilities:
Responsibilities:
- Design, develop, and implement bioinformatics pipelines for the analysis of large-scale omics data (genomics, transcriptomics, proteomics).
- Analyze next-generation sequencing (NGS) data to identify genetic variations, gene expression patterns, and regulatory elements.
- Develop and apply statistical and machine learning methods to biological data.
- Collaborate with experimental biologists to design research studies and interpret results.
- Develop and maintain databases and computational resources for data management and analysis.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contribute to the writing of scientific manuscripts for publication in peer-reviewed journals.
- Present research findings at scientific conferences and internal meetings.
- Mentor junior bioinformatics scientists and research associates.
- Develop innovative computational approaches to address challenging biological questions.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
- Contribute to grant writing and securing research funding.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a closely related field.
- Minimum of 8-10 years of post-doctoral research experience in bioinformatics or computational biology.
- Demonstrated expertise in analyzing large-scale biological datasets (NGS, microarray, proteomics).
- Proficiency in programming languages such as Python, R, Perl, or similar, with strong scripting skills.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, IGV, Ensembl, NCBI).
- Solid understanding of molecular biology, genetics, and genomics.
- Experience with statistical analysis and machine learning techniques applied to biological data.
- Familiarity with high-performance computing environments and cloud platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with a track record of publications.
- Ability to work independently, manage multiple research projects, and lead scientific initiatives in a remote setting.
- Experience with data visualization tools and techniques.
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3
Lead Research Scientist - Bioinformatics
Posted 26 days ago
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Job Description
Our client, a cutting-edge biotechnology firm at the forefront of scientific discovery, is seeking an exceptional Lead Research Scientist with a specialization in Bioinformatics. This is a fully remote role, attracting top scientific minds to collaborate on transformative research projects from anywhere in the world. You will lead a team of bioinformaticians and data scientists in the analysis of large-scale genomic, proteomic, and other biological datasets to uncover novel insights and drive therapeutic development. Key responsibilities include developing and applying advanced computational and statistical methods, designing and managing data analysis pipelines, interpreting complex biological data, and collaborating closely with wet-lab researchers and clinicians. You will also be responsible for publishing research findings in high-impact journals and presenting at international conferences. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, with a minimum of 8 years of post-doctoral research experience in a relevant domain. Extensive experience with genomic data analysis, including next-generation sequencing (NGS) technologies, is essential. Proficiency in programming languages such as Python or R, and experience with big data platforms and cloud computing environments are required. Strong leadership, mentorship, and communication skills are vital for guiding a remote research team and effectively communicating complex scientific concepts. Demonstrated ability to secure research funding and manage research projects independently is a significant advantage. This role offers a unique opportunity to contribute to groundbreaking scientific advancements and shape the future of drug discovery and personalized medicine within a leading research institution remotely connected to Ongata Rongai, Kajiado, KE .
Location: Ongata Rongai, Kajiado, KE
Location: Ongata Rongai, Kajiado, KE
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4
Principal Research Scientist - Genomics & Bioinformatics
Posted 8 days ago
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Job Description
Our client is seeking a visionary Principal Research Scientist with a specialization in Genomics and Bioinformatics to lead groundbreaking research initiatives. This is a fully remote position, offering the unique opportunity to conduct advanced scientific inquiry from anywhere in the world. You will be at the forefront of designing and executing complex genomic studies, developing novel analytical pipelines, and interpreting large-scale datasets to uncover biological insights. The ideal candidate will possess a Ph.D. in a relevant field, extensive experience in next-generation sequencing technologies, and a deep understanding of computational biology and statistical genetics. Your role will involve conceptualizing new research directions, securing funding through grant writing, and publishing findings in high-impact scientific journals. You will collaborate with a global network of scientists and researchers, leveraging state-of-the-art computational resources and fostering a culture of innovation and scientific rigor. This position requires exceptional leadership qualities, a strong publication record, and the ability to mentor junior researchers. As a remote-first role, you will need excellent self-management skills and the ability to effectively communicate complex scientific concepts across diverse teams. We are committed to advancing scientific discovery and are looking for a candidate who shares our passion for pushing the boundaries of knowledge.
Responsibilities:
Responsibilities:
- Design and implement cutting-edge genomics research projects, including whole-genome sequencing, transcriptomics, and epigenomics studies.
- Develop and optimize bioinformatics pipelines for the analysis of large-scale sequencing data.
- Perform sophisticated statistical analyses to identify genetic associations, understand gene regulation, and elucidate biological mechanisms.
- Interpret complex genomic datasets and translate findings into actionable biological insights and potential therapeutic targets.
- Lead and mentor a team of postdoctoral fellows, research associates, and graduate students.
- Write compelling grant proposals to secure external funding for research projects.
- Author and co-author high-impact publications in peer-reviewed scientific journals.
- Collaborate with interdisciplinary teams of biologists, clinicians, and computational scientists.
- Present research findings at national and international scientific conferences.
- Stay abreast of the latest advancements in genomics, bioinformatics, and relevant scientific fields.
- Contribute to the strategic direction of the research division and the development of new research areas.
- Manage research resources, including computational infrastructure and laboratory supplies, as applicable.
- Ph.D. in Genomics, Bioinformatics, Computational Biology, Genetics, or a closely related field.
- A minimum of 7 years of post-doctoral research experience with a strong publication record in leading scientific journals.
- Extensive hands-on experience with next-generation sequencing technologies (e.g., Illumina, PacBio, Oxford Nanopore).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with relevant bioinformatics software packages and databases.
- Expertise in statistical genetics, population genetics, and/or systems biology.
- Demonstrated experience in managing research projects and leading research teams.
- Proven ability to secure external research funding through competitive grant applications.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication and presentation skills.
- Ability to work independently and collaboratively in a fully remote, international research environment.
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5
Lead Research Scientist - Bioinformatics and Genomics
Posted 11 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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6
Principal Research Scientist - Bioinformatics
Posted 1 day ago
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Job Description
Our client is a leading innovator in scientific research and development, seeking a highly accomplished Principal Research Scientist specializing in Bioinformatics. This position is a fully remote role, enabling collaboration with a global team of experts. If you are passionate about leveraging computational approaches to drive groundbreaking discoveries, we encourage you to apply.
Responsibilities:
Responsibilities:
- Design and implement advanced computational and statistical analysis pipelines for large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and maintain robust bioinformatics tools and algorithms to support research objectives.
- Collaborate closely with molecular biologists, geneticists, and other scientific staff to interpret complex experimental data and generate actionable insights.
- Lead research projects, from conceptualization through to publication and application, in areas such as disease mechanisms, drug discovery, or personalized medicine.
- Supervise and mentor junior scientists and bioinformaticians, fostering a collaborative and innovative research environment.
- Stay at the forefront of bioinformatics and computational biology, evaluating and integrating new technologies and methodologies.
- Contribute to grant writing and funding proposals to secure resources for research initiatives.
- Present research findings at international conferences and publish in high-impact peer-reviewed journals.
- Ensure data integrity, reproducibility, and proper documentation of all computational analyses.
- Manage cloud computing resources and optimize workflows for efficiency and scalability.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 10 years of post-doctoral research experience in a relevant scientific domain, with a strong publication record.
- Expertise in programming languages such as Python, R, and/or Perl, and experience with shell scripting.
- Proficiency in utilizing high-performance computing environments and cloud platforms (AWS, Google Cloud, Azure).
- In-depth knowledge of various biological databases and data types (e.g., NCBI, Ensembl, UCSC Genome Browser, FASTA, FASTQ, BAM, VCF).
- Experience with statistical modeling, machine learning, and deep learning techniques applied to biological data.
- Demonstrated ability to lead research projects and mentor scientific staff.
- Excellent written and verbal communication skills, with a proven ability to articulate complex scientific concepts to diverse audiences.
- Strong understanding of molecular biology principles.
- Experience with single-cell RNA-seq analysis and spatial transcriptomics is highly advantageous.
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7
Lead Bioinformatics Scientist - Genomics Research
Posted 2 days ago
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Job Description
Our client, a cutting-edge biotechnology research institute, is seeking a Lead Bioinformatics Scientist to spearhead critical projects within their fully remote scientific team. This role is paramount for analyzing vast genomic datasets, developing novel computational methods, and driving discoveries in areas such as disease mechanisms and therapeutic development. You will be responsible for designing and implementing bioinformatics pipelines, managing large-scale data analysis, and interpreting complex biological information. The ideal candidate possesses a strong background in computational biology, extensive experience with high-throughput sequencing data, and advanced programming skills. This position offers a unique opportunity to contribute to groundbreaking research that could significantly impact human health, all within a flexible, remote working environment.
Responsibilities:
Responsibilities:
- Lead the design and execution of bioinformatics analyses for genomic and transcriptomic data.
- Develop and implement novel computational algorithms and pipelines for biological data analysis.
- Manage, process, and analyze large-scale sequencing datasets (e.g., WGS, WES, RNA-Seq).
- Interpret complex biological findings and translate them into actionable insights for research teams.
- Collaborate with experimental biologists, clinicians, and other scientists to define research questions and analytical strategies.
- Supervise and mentor junior bioinformatics scientists and researchers.
- Contribute to grant writing and manuscript preparation for scientific publications.
- Stay current with the latest advancements in bioinformatics, genomics, and relevant computational tools.
- Ensure data integrity, reproducibility, and compliance with relevant standards.
- Present research findings at scientific conferences and internal meetings.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a focus on genomics.
- Proven track record of leading bioinformatics projects and delivering impactful research outcomes.
- Expertise in analyzing various types of next-generation sequencing (NGS) data.
- Strong programming skills in languages such as Python, R, and shell scripting.
- Experience with bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl, UCSC Genome Browser).
- Familiarity with high-performance computing environments (HPC) and cloud computing platforms.
- Excellent understanding of molecular biology, genetics, and genomics.
- Strong analytical and problem-solving skills.
- Effective communication and collaboration skills, suitable for a remote team.
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8
Senior Research Scientist, Bioinformatics
Posted 26 days ago
Job Viewed
Job Description
Our client, a cutting-edge biotechnology research institute, is seeking an experienced Senior Research Scientist specializing in Bioinformatics to join their globally distributed, fully remote team. This position will play a crucial role in analyzing complex biological datasets and driving discoveries in genomic research. The successful candidate will work remotely, contributing to projects that have implications for understanding diseases prevalent in regions like **Ongata Rongai, Kajiado, KE**, and beyond.
Responsibilities:
Responsibilities:
- Design and execute sophisticated bioinformatics analyses on large-scale genomic, transcriptomic, and proteomic datasets.
- Develop and implement novel computational methods and algorithms to address complex biological questions.
- Collaborate closely with experimental biologists, clinicians, and other researchers to interpret data and guide experimental design.
- Manage and maintain high-performance computing infrastructure and data pipelines.
- Supervise and mentor junior researchers and postdoctoral fellows.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contribute to the preparation of grant proposals and research publications in high-impact journals.
- Present research findings at international conferences and scientific meetings.
- Ensure the integrity, security, and reproducibility of all analyses and data.
- Develop and optimize workflows for data processing, quality control, and variant calling.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related discipline.
- Minimum of 5 years of post-doctoral research experience in a relevant field.
- Extensive experience with next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
- Strong programming skills in Python and/or R, with experience in relevant bioinformatics libraries (e.g., Biopython, Bioconductor).
- Proficiency in using Unix/Linux environments and shell scripting.
- Demonstrated experience with various bioinformatics databases and public resources (e.g., Ensembl, NCBI, UniProt).
- Solid understanding of statistical modeling, machine learning, and data visualization techniques.
- Proven ability to manage large datasets and complex computational workflows.
- Excellent problem-solving skills and a rigorous scientific approach.
- Strong publication record in peer-reviewed journals.
- Exceptional communication and presentation skills, with the ability to explain complex methods and results to diverse audiences.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
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