9 Lead Bioinformatics Scientist Genomics jobs in whatjobs
Lead Bioinformatics Scientist (Genomics)
Posted 20 days ago
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Lead Bioinformatics Scientist - Genomics
Posted 20 days ago
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Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 7 years of experience in bioinformatics research, with a focus on genomics.
- Proven expertise in analyzing NGS data and developing bioinformatics pipelines.
- Proficiency in programming languages such as Python, R, or Perl.
- Experience with bioinformatics databases, tools, and software (e.g., BLAST, GATK, STAR).
- Strong understanding of statistical analysis, machine learning, and data visualization techniques.
- Experience with high-performance computing and cloud environments.
- Excellent communication, collaboration, and leadership skills.
- Ability to work independently and manage complex research projects remotely.
Lead Bioinformatics Scientist - Genomics
Posted 20 days ago
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Responsibilities:
- Lead the development and optimization of bioinformatics pipelines for genomic data analysis.
- Manage and mentor a team of bioinformaticians.
- Design and implement computational strategies for novel research questions.
- Analyze and interpret large-scale genomic, transcriptomic, and epigenomic datasets.
- Collaborate with researchers to define analytical approaches and interpret results.
- Develop and maintain robust codebases and documentation.
- Present research findings at scientific conferences and in publications.
- Contribute to grant writing and funding proposals.
- PhD in Bioinformatics, Computational Biology, or a related quantitative field.
- Extensive experience with NGS data analysis and statistical genetics.
- Proficiency in Python, R, and shell scripting.
- Experience with workflow managers and HPC environments.
- Strong understanding of molecular biology and genetics.
- Demonstrated leadership and project management skills.
- Excellent written and verbal communication skills.
Lead Bioinformatics Scientist - Genomics
Posted 18 days ago
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Lead Bioinformatics Scientist, Genomics
Posted 20 days ago
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Job Description
Lead Bioinformatics Scientist - Genomics
Posted 20 days ago
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Job Description
Lead Bioinformatics Scientist - Genomics
Posted 12 days ago
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- Design and implement robust bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
- Develop and apply statistical and machine learning methods for genomic data analysis and interpretation.
- Collaborate with biologists and clinicians to define research questions and design experiments.
- Oversee the integration and analysis of multi-omics datasets.
- Develop and maintain high-quality documentation for all bioinformatics tools and pipelines.
- Supervise and mentor junior bioinformaticians and research assistants.
- Present research findings at scientific conferences and publish in peer-reviewed journals.
- Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology.
- Ensure data integrity, reproducibility, and compliance with ethical guidelines.
- 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.
- Strong proficiency in programming languages such as Python, R, and Perl.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl).
- Expertise in statistical analysis and machine learning techniques relevant to genomics.
- Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing (HPC) environments.
- Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts.
- Demonstrated leadership experience and the ability to manage research projects.
- Proven publication record in high-impact scientific journals.
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Lead Bioinformatics Scientist - Genomics
Posted 10 days ago
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Responsibilities:
- Lead the design, development, and implementation of bioinformatics pipelines for analyzing diverse genomic datasets (e.g., WGS, WES, RNA-Seq).
- Develop and apply advanced statistical and computational methods for variant calling, gene expression analysis, and functional genomics.
- Manage and analyze large-scale genomics datasets, ensuring data integrity and quality.
- Collaborate with experimental biologists and clinicians to define research questions and design studies.
- Interpret genomic findings and translate them into biological hypotheses and potential therapeutic targets.
- Develop and validate novel algorithms and software tools to address specific research needs.
- Supervise, mentor, and guide junior bioinformatics scientists and researchers.
- Stay current with the latest advancements in genomics, bioinformatics, and related computational fields.
- Present research findings at international conferences and publish in peer-reviewed journals.
- Contribute to grant writing and secure funding for research projects.
- Manage cloud-based computational resources and optimize workflow efficiency for a remote team.
- Ensure adherence to data privacy and security standards for sensitive genomic information.
- Foster a collaborative and innovative research environment within the remote scientific community.
- Develop and maintain documentation for all bioinformatics pipelines and analytical procedures.
- Evaluate and integrate new technologies and methodologies into existing research programs.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related quantitative field.
- 7+ years of hands-on experience in bioinformatics, with a strong emphasis on genomics.
- Proven expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and Perl.
- Experience with common bioinformatics software and databases (e.g., GATK, ANNOVAR, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with high-performance computing (HPC) environments and cloud computing platforms (e.g., AWS, GCP).
- Demonstrated ability to lead research projects and mentor team members.
- Excellent written and verbal communication skills for scientific dissemination.
- Track record of publications in high-impact journals and presentations at scientific meetings.
- Ability to work independently and collaboratively in a distributed, remote setting.
Lead Bioinformatics Scientist - Genomics
Posted 3 days ago
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Key Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale genomic datasets.
- Develop, optimize, and maintain robust bioinformatics pipelines for data processing and analysis.
- Supervise and mentor a team of bioinformaticians and computational biologists.
- Apply statistical and machine learning methods to identify biological insights from genomic data.
- Collaborate with cross-functional research teams to define research questions and analytical strategies.
- Contribute to the interpretation of genomic findings and their clinical implications.
- Author and co-author research publications in high-impact journals.
- Present research findings at scientific conferences and meetings.
- Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology.
- Manage research projects, timelines, and resources effectively.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Statistics, or a related field.
- 5+ years of post-doctoral or industry experience in bioinformatics, with a focus on genomics.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, or Perl.
- Experience with bioinformatics tools and databases (e.g., GATK, ANNOVAR, Ensembl).
- Strong understanding of statistical genetics, population genetics, and machine learning.
- Experience with high-performance computing environments (e.g., HPC clusters, cloud computing).
- Excellent leadership, communication, and collaboration skills.
- Proven track record of research productivity and publication.
- Ability to work independently and lead research initiatives in a remote setting.