8 Senior Bioinformatician Remote jobs in whatjobs
Senior Bioinformatician - Remote
Posted 3 days ago
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Job Description
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Perform statistical analysis and data mining on large biological datasets to identify significant findings, patterns, and correlations.
- Develop and utilize machine learning algorithms for predictive modeling and classification tasks in biological contexts.
- Collaborate with molecular biologists, geneticists, and other research scientists to interpret data and address key research questions.
- Write clear, concise, and well-documented code in languages such as Python and R, adhering to software development best practices.
- Manage and query biological databases, ensuring data integrity and accessibility.
- Contribute to the design of experiments and provide computational support for research projects.
- Stay updated with the latest advancements in bioinformatics, computational biology, and relevant life science disciplines.
- Prepare technical reports, documentation, and visualizations for scientific publications and presentations.
- Present findings to internal teams and at scientific conferences.
- Mentor junior bioinformaticians and provide technical guidance.
- Optimize existing pipelines for performance and scalability.
- Contribute to the development of internal tools and software solutions.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of relevant experience in bioinformatics or computational biology, preferably within a research or industry setting.
- Expert proficiency in programming languages such as Python (including libraries like Biopython, Pandas, NumPy, SciPy) and R.
- Strong experience with command-line environments and shell scripting.
- In-depth knowledge of standard bioinformatics tools, algorithms, and databases.
- Experience with next-generation sequencing (NGS) data analysis and interpretation.
- Familiarity with statistical methods, machine learning techniques, and experimental design.
- Experience with cloud computing platforms (e.g., AWS, GCP) and containerization (e.g., Docker) is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities, effective in a remote work setting.
- Ability to work independently and manage multiple projects efficiently.
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                    Senior Bioinformatician - Remote
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Analyze genomic, transcriptomic, and proteomic data to identify key biological insights, biomarkers, and therapeutic targets.
- Develop and apply statistical and machine learning methods for biological data analysis.
- Collaborate closely with experimental biologists, geneticists, and clinicians to interpret results and guide research directions.
- Develop and maintain databases for biological data management and retrieval.
- Generate clear and concise reports and visualizations of analytical findings for scientific publications and presentations.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and biological research.
- Contribute to grant proposals and manuscript preparation.
- Ensure the quality and reproducibility of all bioinformatics analyses.
- Mentor junior bioinformaticians and research staff.
- Troubleshoot and optimize existing bioinformatics workflows.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in bioinformatics analysis, with a strong focus on genomics and transcriptomics.
- Proven expertise in analyzing large-scale biological datasets using various bioinformatics tools and software packages (e.g., GATK, STAR, DESeq2, Cufflinks).
- Proficiency in programming languages commonly used in bioinformatics, such as Python and R.
- Strong understanding of molecular biology, genetics, and disease mechanisms.
- Experience with statistical modeling and machine learning techniques applied to biological data.
- Familiarity with cloud computing platforms (e.g., AWS, GCP) and containerization (e.g., Docker) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team.
- Ability to manage multiple projects and meet deadlines in a dynamic research environment.
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                    Senior Bioinformatician (Remote)
Posted 8 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., NGS).
- Perform in-depth analysis of genomic, transcriptomic, proteomic, and metabolomic data.
- Develop and apply statistical and machine learning methods for biological data interpretation.
- Collaborate with research scientists to define research questions and design appropriate bioinformatics analyses.
- Visualize and interpret complex biological data, generating reports and presentations.
- Develop and maintain databases for storing and managing biological data.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Contribute to manuscript preparation and grant writing.
- Mentor junior bioinformaticians and provide technical guidance.
- Ensure the reproducibility and quality of all computational analyses.
Qualifications:
- PhD or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of hands-on experience in bioinformatics analysis, with a focus on large-scale biological data.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Bash).
- Experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Strong understanding of molecular biology, genetics, and genomics.
- Solid knowledge of statistical methods and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Proven track record of publications in peer-reviewed journals.
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                    Senior Bioinformatician - Remote
Posted 11 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
- Analyze large-scale omics datasets (genomics, transcriptomics, proteomics, epigenomics) to identify significant biological insights.
- Develop and apply statistical methods and machine learning algorithms for data interpretation and pattern discovery.
- Collaborate closely with experimental biologists and clinicians to define research questions and experimental designs.
- Visualize and interpret complex biological data, generating clear and informative reports and presentations.
- Manage and curate large biological databases and ontologies.
- Develop and maintain software tools and scripts for bioinformatics analysis.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Contribute to the writing of grant proposals and scientific publications.
- Provide technical guidance and mentorship to junior bioinformaticians and research staff.
- Ensure the reproducibility and quality control of all bioinformatics analyses.
- Participate in team meetings and contribute to the collaborative research environment.
- Manage cloud computing resources and high-performance computing clusters for data analysis.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 5 years of post-doctoral or industry experience in bioinformatics research.
- Extensive experience with various NGS data analysis workflows (e.g., variant calling, RNA-seq analysis, ChIP-seq analysis).
- Proficiency in programming languages commonly used in bioinformatics, such as Python, R, and Perl.
- Strong understanding of statistical modeling, machine learning techniques, and experimental design.
- Experience with relevant bioinformatics databases, tools, and software packages.
- Familiarity with Unix/Linux environments and shell scripting.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and manage research projects effectively in a remote setting.
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                    Senior Bioinformatician - Remote
Posted 16 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop and apply computational and statistical methods to analyze complex biological datasets (e.g., next-generation sequencing, microarrays, mass spectrometry).
- Design and implement bioinformatics pipelines for data processing, quality control, and variant calling.
- Analyze genomic, transcriptomic, proteomic, and metabolomic data to identify key biological insights and generate hypotheses.
- Develop and maintain databases for biological data management and retrieval.
- Collaborate with experimental biologists, geneticists, and other researchers to define research questions and design appropriate analyses.
- Interpret results, visualize data, and communicate findings effectively through reports, presentations, and publications.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant life sciences fields.
- Develop and implement robust algorithms and software tools to support research initiatives.
- Contribute to grant proposals and manuscript preparation.
- Mentor junior bioinformaticians and research staff.
- Ensure data integrity, reproducibility, and adherence to best practices in computational analysis.
- Manage bioinformatics projects, including scope, timelines, and resource allocation.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics analysis and tool development.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser, Galaxy).
- Strong understanding of molecular biology, genetics, and genomics.
- Experience with statistical analysis and machine learning techniques applied to biological data.
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing environments is a plus.
- Excellent problem-solving skills and the ability to work independently in a remote setting.
- Strong written and verbal communication skills for effective collaboration with diverse scientific teams.
- Publication record in peer-reviewed journals is desirable.
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                    Senior Bioinformatician - Remote
Posted 18 days ago
Job Viewed
Job Description
Responsibilities:
- Design and implement bioinformatics pipelines for high-throughput sequencing data analysis (e.g., WGS, WES, RNA-Seq).
- Develop and maintain databases for biological information management and retrieval.
- Apply statistical and machine learning methods to identify patterns, biomarkers, and therapeutic targets from large-scale datasets.
- Collaborate with research scientists to interpret results and design follow-up experiments.
- Develop and document robust, reproducible code and analysis workflows.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Contribute to the writing of scientific publications and grant proposals.
- Mentor junior bioinformatics staff and provide technical guidance.
- Ensure data integrity, security, and compliance with relevant regulations.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in scripting languages such as Python or R, and experience with workflow management systems (e.g., Nextflow, Snakemake).
- Strong understanding of statistical genetics, population genetics, and molecular biology.
- Experience with cloud computing platforms (AWS, GCP, Azure) is highly desirable.
- Excellent problem-solving skills and the ability to work independently in a remote setting.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-experts.
- Experience with large-scale data visualization tools.
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                    Senior Bioinformatician (Remote)
Posted 19 days ago
Job Viewed
Job Description
Responsibilities include designing and implementing bioinformatics pipelines, developing novel algorithms for data interpretation, and collaborating with biologists and clinicians to address complex research questions. You will be responsible for managing and processing massive datasets, ensuring data integrity, and communicating findings to diverse scientific audiences. This role demands exceptional analytical thinking, programming proficiency (e.g., Python, R, Perl), and experience with high-performance computing environments. As a remote-first position, you will need excellent self-management skills and the ability to collaborate effectively in a virtual setting. Our client is dedicated to fostering a cutting-edge research environment where you can make a significant impact on the future of healthcare. You will have the opportunity to work on challenging projects, publish your work, and contribute to the scientific community while enjoying the flexibility of remote work. This role is integral to translating raw biological data into actionable knowledge.
Key Responsibilities:
- Develop, implement, and maintain bioinformatics pipelines for analyzing high-throughput sequencing data (e.g., WGS, WES, RNA-Seq).
- Design and apply statistical and machine learning methods for biological data analysis.
- Collaborate with experimental biologists to interpret results and generate hypotheses.
- Develop and optimize algorithms for sequence alignment, variant calling, and gene expression analysis.
- Manage and curate large biological datasets.
- Present research findings at internal meetings and scientific conferences.
- Contribute to grant writing and manuscript preparation.
- Stay updated on the latest advancements in bioinformatics and computational biology.
- Ph.D. in Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- 5+ years of experience in bioinformatics analysis, with a focus on genomics or transcriptomics.
- Strong programming skills in Python, R, and/or Perl.
- Experience with cloud computing platforms (AWS, GCP) and containerization (Docker).
- Proficiency in using bioinformatics databases and tools.
- Excellent understanding of statistical principles and machine learning techniques.
- Strong communication and collaboration skills, suitable for a remote team.
- Demonstrated ability to independently manage complex projects.
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Senior Bioinformatician - Remote
Posted 22 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Analyze and interpret large, complex biological datasets, including genomic, transcriptomic, proteomic, and metabolomic data.
- Develop and apply statistical and machine learning methods to identify biological patterns, biomarkers, and potential drug targets.
- Collaborate closely with experimental biologists, geneticists, and clinicians to define research questions and provide computational support.
- Contribute to the design of experiments, including sample selection and experimental controls, to maximize data quality and relevance.
- Develop and maintain custom scripts and software tools for data analysis and visualization using programming languages such as Python, R, and Perl.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Communicate research findings effectively through presentations, publications, and technical reports.
- Mentor junior bioinformaticians and researchers, providing technical guidance and training.
- Ensure the integrity, reproducibility, and documentation of all analyses.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics research and data analysis, post-Ph.D./Master's.
- Proven expertise in analyzing large-scale genomic and/or proteomic datasets.
- Strong programming skills in Python, R, and/or Perl, with experience in bioinformatics libraries and packages.
- Proficiency with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser, TCGA).
- Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Singularity) is highly desirable.
- Solid understanding of molecular biology, genetics, and statistical principles.
- Excellent problem-solving abilities and a rigorous scientific approach.
- Strong communication and interpersonal skills, with the ability to work effectively in a collaborative, remote team.
- Publications in peer-reviewed journals demonstrating research productivity.
This fully remote Senior Bioinformatician role is an exceptional opportunity for a leading scientist to shape the future of biotechnology from **Garissa, Garissa, KE** or any other location in Kenya.
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