13 Senior Bioinformatician jobs in whatjobs
Senior Bioinformatician
Posted 3 days ago
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Senior Bioinformatician
Posted 10 days ago
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Responsibilities:
- Develop, implement, and maintain bioinformatics pipelines for analyzing genomic, transcriptomic, and proteomic data.
- Perform statistical analysis and machine learning on large biological datasets.
- Interpret research findings and present them to scientific teams.
- Collaborate with research scientists to design experiments and analytical strategies.
- Identify and integrate relevant biological databases and resources.
- Contribute to the development of novel algorithms and computational methods.
- Ensure data quality, integrity, and reproducibility of analyses.
- Stay current with advancements in bioinformatics and computational biology.
- Document methodologies, code, and results clearly and comprehensively.
- Provide technical guidance and mentorship to junior researchers.
- Troubleshoot and optimize existing bioinformatics tools and workflows.
- Manage computational resources and workflows effectively.
- Contribute to grant proposals and manuscript preparation.
- Visualize complex biological data in an understandable format.
- Ph.D. 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 or computational biology research.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Experience with common bioinformatics tools and databases (e.g., BLAST, ENSEMBL, NCBI).
- Strong understanding of statistical modeling and machine learning techniques.
- Experience with next-generation sequencing (NGS) data analysis.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and high-performance computing (HPC) environments.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills for effective collaboration.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience in developing reusable code and software packages.
- Knowledge of molecular biology and genetics principles.
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Senior Bioinformatician
Posted 11 days ago
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- Designing, developing, and validating bioinformatics tools and workflows for high-throughput sequencing data analysis.
- Performing complex statistical analyses on genomic and transcriptomic data to identify significant biological insights.
- Developing and maintaining databases for biological data management and retrieval.
- Collaborating with cross-functional teams to interpret experimental results and guide future research directions.
- Staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Documenting methodologies and results thoroughly, contributing to scientific publications and presentations.
- Mentoring junior bioinformaticians and providing technical guidance.
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Senior Bioinformatician
Posted 11 days ago
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Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of omics data (genomics, transcriptomics, proteomics, etc.).
- Analyze large biological datasets using statistical and machine learning methods.
- Interpret complex biological data and translate findings into actionable scientific insights.
- Collaborate with researchers and clinicians to define research questions and experimental designs.
- Develop and maintain databases and computational resources.
- Stay up-to-date with the latest advancements in bioinformatics tools and methodologies.
- Contribute to the writing of research grants and scientific publications.
- Present research findings at scientific conferences and meetings.
- Mentor junior bioinformaticians and research staff.
- Ensure data integrity, reproducibility, and compliance with data privacy regulations.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics research.
- Extensive experience with next-generation sequencing (NGS) data analysis.
- Proficiency in programming languages such as Python and R, and associated bioinformatics libraries.
- Strong understanding of statistical methods and machine learning techniques relevant to biological data analysis.
- Experience with relevant biological databases (e.g., NCBI, Ensembl) and bioinformatics tools.
- Familiarity 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.
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Job Description
Responsibilities:
- Lead the design and execution of bioinformatics pipelines for high-throughput sequencing data analysis.
- Develop and apply statistical and machine learning methods for biological data interpretation.
- Collaborate closely with experimental biologists, geneticists, and clinicians to define research questions and experimental designs.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Develop custom software tools and scripts for data analysis and visualization.
- Contribute to the interpretation of research findings and manuscript preparation for publication.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Mentor junior researchers and provide technical guidance on bioinformatics approaches.
- Participate in grant writing and proposal development.
- Ensure compliance with data security and privacy regulations.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics.
- Strong 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 databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Familiarity with cloud computing platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker).
- Excellent problem-solving skills and ability to work independently and as part of a team.
- Strong written and verbal communication skills, with a proven ability to present complex information clearly.
- Experience with biological pathway analysis and knowledge representation is a plus.
This is an exceptional opportunity to contribute to cutting-edge research in a collaborative and intellectually stimulating environment. The hybrid nature of this role allows for a balance between focused remote work and essential in-person team engagement. Our client is committed to scientific excellence and fostering a supportive work culture. Join us in pushing the boundaries of biological discovery.
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Job Description
Key responsibilities include managing, processing, and analyzing large-scale genomic and transcriptomic data, identifying biomarkers, and elucidating biological pathways. You will develop custom bioinformatics tools and scripts, and contribute to the development of novel algorithms for data interpretation. Staying current with the latest advancements in bioinformatics tools, algorithms, and databases is essential. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field, with a strong track record of research and publication. Proven experience in programming languages such as Python, R, or Perl, and expertise in using bioinformatics software and databases (e.g., NCBI, Ensembl) are mandatory. Experience with cloud computing platforms (e.g., AWS, GCP) and big data technologies is highly desirable. Excellent analytical, problem-solving, and communication skills are critical for translating complex data into understandable biological insights. This is an exceptional opportunity to contribute to cutting-edge scientific research from a remote setting, making a tangible impact on our understanding of diseases and developing novel therapeutic strategies. The research supported by this role has implications for scientific advancements relevant to **Machakos, Machakos, KE**. Join us in pushing the boundaries of scientific discovery.
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Senior Bioinformatician
Posted 18 days ago
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Key Responsibilities:
- Design, implement, and manage bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Develop and apply statistical and machine learning methods to interpret large biological datasets.
- Collaborate with biologists, geneticists, and other researchers to define research questions and design experiments.
- Perform functional annotation, pathway analysis, and variant interpretation of genomic data.
- Develop custom scripts and software tools to support research needs.
- Contribute to the interpretation of results and the preparation of manuscripts for publication in peer-reviewed journals.
- Present research findings at scientific conferences and internal meetings.
- Manage and maintain bioinformatics databases and computational infrastructure.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Mentor junior researchers and provide technical guidance on bioinformatics methodologies.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral research experience in bioinformatics.
- Demonstrated expertise in analyzing large-scale genomic and transcriptomic datasets.
- Proficiency in programming languages such as Python, R, Perl, or similar.
- Experience with standard bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Strong understanding of molecular biology, genetics, and statistical principles.
- Experience with high-performance computing environments (e.g., HPC clusters, cloud computing).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to effectively communicate complex results to diverse audiences.
- Experience with version control systems (e.g., Git).
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