7 Senior Research Scientist Bioinformatics Genomics jobs in whatjobs
Senior Research Scientist, Bioinformatics & Genomics
Posted 24 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of large-scale genomic and transcriptomic data.
- Perform sophisticated statistical analysis and interpretation of genomic datasets from various high-throughput sequencing technologies.
- Develop and apply novel computational methods and algorithms to address complex biological questions.
- Collaborate with experimental scientists to design studies, analyze data, and interpret results.
- Contribute to the generation of high-quality research publications and presentations.
- Maintain up-to-date knowledge of the latest advancements in bioinformatics, genomics, and related fields.
- Mentor junior researchers and contribute to the scientific discourse within the R&D team.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
Required Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry research experience in bioinformatics and genomics.
- Extensive experience with next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
- Proficiency in programming languages such as Python, R, Perl, or similar.
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with major bioinformatics databases (e.g., NCBI, Ensembl) and software tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to conduct independent research and publish findings in peer-reviewed journals.
- Exceptional communication and collaboration skills, with the ability to thrive in a fully remote research environment.
Senior Research Scientist - Bioinformatics & Genomics
Posted 24 days ago
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Job Description
Responsibilities:
- Design and conduct research projects in bioinformatics and genomics, focusing on areas such as transcriptomics, epigenomics, or population genomics.
- Develop and implement computational pipelines for the analysis of next-generation sequencing (NGS) data.
- Analyze large-scale genomic and proteomic datasets to identify novel biological insights and potential therapeutic targets.
- Develop and optimize novel algorithms and software tools for biological data analysis.
- Collaborate with experimental biologists to interpret research findings and design future experiments.
- Contribute to the writing of research papers, grant proposals, and patents.
- Present research findings at scientific conferences and internal meetings.
- Mentor junior researchers and provide technical guidance in bioinformatics and genomics.
- Stay abreast of the latest advancements in bioinformatics, genomics, and relevant computational fields.
- Manage research projects, ensuring timelines and deliverables are met.
- Ensure data integrity, reproducibility, and robust scientific practices are maintained.
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field.
- Minimum of 5 years of post-doctoral research experience in bioinformatics or genomics.
- Demonstrated expertise in analyzing large-scale genomic datasets (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Bash).
- Experience with bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl, UCSC Genome Browser).
- Strong understanding of molecular biology, genetics, and statistical methods.
- Proven track record of publications in peer-reviewed journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, essential for remote collaboration.
- Ability to work independently and manage complex research projects effectively.
- Experience with machine learning techniques applied to biological data is a plus.
Senior Research Scientist - Bioinformatics & Genomics
Posted 15 days ago
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Job Description
Responsibilities:
- Design and implement advanced bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Develop and apply statistical and machine learning models to interpret large-scale genomic and transcriptomic datasets.
- Collaborate with experimental biologists to define research questions and design appropriate computational approaches.
- Identify novel genes, variants, and pathways associated with specific biological phenomena or diseases.
- Develop and maintain robust bioinformatics tools and databases for data management and analysis.
- Contribute to the publication of research findings in high-impact peer-reviewed journals.
- Present research results at scientific conferences and to internal teams.
- Stay updated on the latest advancements in genomics, bioinformatics, and computational biology.
- Mentor and guide junior researchers and data analysts.
- Ensure data integrity, reproducibility, and compliance with ethical guidelines.
- Collaborate with cross-functional teams to translate research findings into potential applications.
- Contribute to grant writing and funding proposals.
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in bioinformatics or genomics.
- Extensive experience with NGS data analysis and associated software packages (e.g., BWA, GATK, STAR, DESeq2).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Strong knowledge of statistical methods and machine learning algorithms.
- Experience with high-performance computing environments (HPC) and cloud computing platforms.
- Proven track record of impactful scientific publications and presentations.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to effectively collaborate remotely.
- Experience managing complex bioinformatics projects and data resources.
- Familiarity with human genetics and disease association studies is highly desirable.
Senior Research Scientist, Bioinformatics & Genomics
Posted 13 days ago
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Job Description
Key Responsibilities:
- Lead bioinformatics and genomics research projects, from experimental design to data analysis and interpretation.
- Develop, implement, and optimize advanced computational pipelines for analyzing large-scale biological datasets (genomics, transcriptomics, proteomics).
- Design and conduct statistical analyses to identify significant biological patterns and generate testable hypotheses.
- Collaborate with experimental biologists and clinicians to address complex research questions.
- Stay current with the latest advancements in bioinformatics, genomics, computational biology, and relevant software tools.
- Contribute to the development of novel algorithms and computational methods.
- Interpret and communicate complex scientific findings to both technical and non-technical audiences.
- Mentor junior researchers and contribute to team development.
- Prepare manuscripts for publication in high-impact peer-reviewed journals.
- Present research findings at national and international scientific conferences.
- Contribute to grant writing and proposal development.
- Manage and analyze data from various sequencing platforms.
- Utilize cloud computing and high-performance computing resources effectively.
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Statistics, or a closely related field.
- Minimum of 5 years of post-doctoral or industry research experience in bioinformatics and genomics.
- Extensive experience with programming languages such as Python, R, and/or Perl.
- Proficiency in using bioinformatics tools and databases (e.g., BLAST, UCSC Genome Browser, Ensembl).
- Demonstrated experience with Next-Generation Sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with Unix/Linux operating systems and shell scripting.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) and HPC environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with a proven publication record.
- Ability to work independently and collaboratively in a remote team environment.
Senior Research Scientist - Bioinformatics & Genomics
Posted 10 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and execute bioinformatics analyses for large-scale genomic and transcriptomic datasets.
- Develop and optimize computational pipelines for data processing and analysis.
- Identify and validate novel biomarkers and therapeutic targets.
- Collaborate with experimental teams to interpret results and guide future experiments.
- Stay abreast of the latest advancements in genomics, bioinformatics, and relevant scientific fields.
- Contribute to manuscript preparation and scientific publications.
- Present research findings at internal meetings and external conferences.
- Mentor junior scientists and contribute to team knowledge sharing.
- Manage data integrity and computational resource allocation.
- Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related quantitative science.
- 5+ years of post-doctoral or industry research experience.
- Extensive experience with NGS data analysis (WGS, WES, RNA-Seq).
- Proficiency in Python, R, or other relevant programming languages.
- Familiarity with common bioinformatics databases and tools.
- Strong statistical analysis and machine learning skills.
- Excellent written and verbal communication skills.
- Proven ability to lead research projects and collaborate effectively.
Senior Research Scientist - Bioinformatics & Genomics
Posted 3 days ago
Job Viewed
Job Description
Senior Research Scientist - Bioinformatics & Genomics
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement computational pipelines for the analysis of genomic, transcriptomic, proteomic, and other omics data.
- Analyze large-scale biological datasets to identify genetic variants, gene expression patterns, and regulatory mechanisms.
- Develop and apply statistical and machine learning methods for biological data interpretation.
- Collaborate with experimental biologists to design studies, interpret results, and generate hypotheses.
- Develop and maintain robust bioinformatics software tools and databases.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Contribute to scientific publications and presentations at conferences.
- Mentor junior bioinformaticians and researchers.
- Ensure the reproducibility and quality of computational analyses.
- Manage data integrity and security for sensitive biological information.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry research experience in bioinformatics and genomics.
- Extensive experience with various omics data types (e.g., next-generation sequencing, microarrays).
- Proficiency in programming languages such as Python and R, and experience with relevant bioinformatics libraries and packages.
- Strong experience with command-line tools, scripting (e.g., Bash), and high-performance computing environments.
- Solid understanding of molecular biology, genetics, and statistical principles.
- Experience with database management systems and version control (e.g., Git).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for effective remote teamwork.
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