7,152 Bioinformatician jobs in India
Lead Bioinformatician
Posted 3 days ago
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Senior Bioinformatician
Posted 6 days ago
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Responsibilities:
- Analyze large-scale genomic, transcriptomic, and proteomic datasets.
- Develop, implement, and optimize bioinformatics pipelines.
- Perform data mining, statistical analysis, and interpretation of biological data.
- Collaborate with researchers to design experiments and analyze results.
- Develop and maintain bioinformatics databases and tools.
- Visualize complex biological data for presentations and publications.
- Stay current with advancements in bioinformatics and computational biology.
- Contribute to grant proposals and manuscript preparation.
- Master's or Ph.D. in Bioinformatics, Computational Biology, or a related field.
- Significant experience in analyzing complex biological datasets.
- Proficiency in programming languages like Python or R.
- Experience with common bioinformatics tools and databases.
- Strong understanding of statistical methods and machine learning in biology.
- Excellent analytical, problem-solving, and communication skills.
Senior Bioinformatician
Posted 7 days ago
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Responsibilities:
- Design, develop, and implement advanced bioinformatics pipelines and algorithms for the analysis of large-scale biological datasets (e.g., next-generation sequencing data, microarray data, mass spectrometry data).
- Collaborate with biologists, geneticists, and other researchers to define research questions and translate them into computational approaches.
- Analyze and interpret complex genomic, transcriptomic, proteomic, and metabolomic data to identify biological patterns, pathways, and biomarkers.
- Develop and maintain databases for storing and retrieving biological data.
- Perform statistical analysis and machine learning to identify significant biological findings.
- Contribute to the design of experiments and data collection strategies.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Communicate research findings effectively through presentations, publications, and reports.
- Mentor junior bioinformaticians and provide technical guidance.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in bioinformatics research and analysis.
- Strong programming skills in languages such as Python, R, Perl, or Java.
- Proficiency with bioinformatics tools and databases (e.g., BLAST, Ensembl, NCBI databases, GATK).
- Experience with next-generation sequencing (NGS) data analysis, including variant calling, RNA-Seq analysis, and genome assembly.
- Solid understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with high-performance computing environments (e.g., clusters, cloud computing).
- Excellent problem-solving skills and ability to work independently in a remote setting.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Demonstrated ability to publish research in peer-reviewed journals.
Senior Bioinformatician
Posted 8 days ago
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Lead Bioinformatician
Posted 12 days ago
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Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field.
- Minimum of 7 years of experience in bioinformatics, with at least 2 years in a leadership role.
- Expertise in analyzing large-scale genomic and transcriptomic data.
- Proficiency in programming languages (Python, R, Perl) and statistical software.
- Experience with relevant bioinformatics tools and databases.
- Strong understanding of biological pathways and molecular mechanisms.
- Excellent communication and interpersonal skills, with the ability to present complex findings clearly.
Lead Bioinformatician
Posted 13 days ago
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Responsibilities:
- Lead the design and implementation of computational and statistical analyses of large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and maintain robust bioinformatics pipelines and workflows for data processing, analysis, and interpretation.
- Collaborate with experimental biologists, clinicians, and other researchers to define research questions and analytical strategies.
- Interpret complex biological data and translate findings into actionable insights for R&D projects.
- Mentor and supervise junior bioinformaticians, fostering their professional growth and ensuring high-quality research output.
- Stay current with the latest advancements in bioinformatics, genomics technologies, and relevant computational methods.
- Contribute to the development of new research hypotheses and experimental designs based on data analysis.
- Manage data resources, ensuring data integrity, security, and accessibility.
- Present research findings at scientific meetings and contribute to publications in peer-reviewed journals.
- Evaluate and integrate new bioinformatics tools and technologies into the research workflow.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, or a related quantitative field.
- 7+ years of progressive experience in bioinformatics, with demonstrated leadership capabilities.
- Extensive experience with next-generation sequencing (NGS) data analysis and interpretation.
- Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries and tools (e.g., Bioconductor, Samtools, GATK).
- Strong understanding of statistical methods applicable to biological data analysis.
- Experience with high-performance computing environments and cloud platforms (e.g., AWS, GCP) for bioinformatics tasks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote team environment.
- Experience in managing research projects and mentoring junior scientists.
- Familiarity with biological databases and data standards.
This fully remote role offers a unique opportunity to contribute to groundbreaking scientific research in a collaborative and innovative environment. Join us and make a tangible impact on human health.
Senior Bioinformatician
Posted 13 days ago
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Key Responsibilities:
- Develop, implement, and maintain bioinformatics pipelines for the analysis of large-scale biological data, including genomics, transcriptomics, and proteomics.
- Perform advanced statistical analysis and machine learning on diverse biological datasets.
- Design and execute computational experiments to identify patterns, biomarkers, and therapeutic targets.
- Collaborate closely with biologists, geneticists, and other researchers to interpret data and guide experimental design.
- Develop custom scripts and software tools to address specific research questions.
- Manage and organize large biological datasets, ensuring data integrity and accessibility.
- Visualize complex biological data for effective communication and presentation.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contribute to the writing of research grants and scientific publications.
- Mentor junior bioinformaticians and research staff.
- Troubleshoot and resolve issues related to data processing, analysis, and software implementation.
- Contribute to the development of new research strategies and methodologies.
- 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 research and data analysis.
- Strong programming skills in languages such as Python, R, Perl, or Java.
- Proficiency in using bioinformatics tools, databases, and software packages (e.g., BLAST, GATK, Bioconductor).
- Experience with next-generation sequencing (NGS) data analysis is essential.
- Solid understanding of statistical methods, machine learning, and algorithm development.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Proven ability to work independently and collaboratively in a remote research environment.
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Senior Bioinformatician
Posted 13 days ago
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Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., RNA-Seq, WGS, ChIP-Seq).
- Analyze and interpret complex genomic, transcriptomic, and proteomic datasets to identify significant biological insights and patterns.
- Develop and maintain custom scripts and software tools to automate data analysis workflows and improve efficiency.
- Collaborate closely with experimental biologists, clinicians, and other researchers to define research questions and design appropriate analytical approaches.
- Contribute to the interpretation of research findings and their translation into biological hypotheses or clinical applications.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant 'omics' technologies.
- Prepare high-quality data visualizations, reports, and manuscripts for publication in peer-reviewed journals.
- Present research findings at scientific meetings and conferences.
- Provide training and support to junior bioinformaticians and researchers on bioinformatics tools and methodologies.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Contribute to the design and execution of computational experiments.
- Evaluate and implement new bioinformatics algorithms and software packages.
- Ensure reproducibility of computational analyses through rigorous documentation and version control.
- Participate in grant writing and proposal development for bioinformatics-related projects.
- Foster a collaborative and knowledge-sharing environment within the bioinformatics and research teams.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6-8 years of relevant experience in bioinformatics analysis, with a focus on 'omics' data.
- Demonstrated expertise in analyzing large-scale genomic, transcriptomic, or proteomic datasets.
- Proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or Bash.
- Experience with standard bioinformatics tools and databases (e.g., BLAST, SAMtools, GATK, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with high-performance computing environments and cloud platforms.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex computational concepts to non-experts.
- Proven ability to work independently and collaboratively in a research team.
- Experience with data visualization tools and techniques.
- Prior experience in a biomedical research setting is highly desirable.
Senior Bioinformatician
Posted 14 days ago
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Responsibilities:
- Design, develop, and maintain bioinformatics pipelines for various omics data types.
- Analyze large-scale genomic and transcriptomic datasets.
- Apply statistical and machine learning methods to biological data.
- Collaborate with researchers to interpret experimental results and generate hypotheses.
- Develop and implement custom scripts and software for data analysis.
- Manage and curate biological databases.
- Contribute to research proposals, publications, and presentations.
- Stay updated with the latest advancements in bioinformatics and computational biology.
- Train and mentor junior staff and students.
- Participate in team meetings and contribute to research strategy.
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of relevant post-graduate experience in bioinformatics.
- Proficiency in Python, R, Perl, and SQL.
- Strong experience with high-throughput sequencing data analysis (e.g., WGS, RNA-Seq).
- Expertise in statistical modeling and machine learning techniques.
- Familiarity with common bioinformatics databases and tools.
- Experience with Linux/Unix environments and shell scripting.
- Excellent written and verbal communication skills.
- Ability to work effectively in a collaborative, interdisciplinary environment.
- Experience with cloud computing and containerization is a plus.
Senior Bioinformatician
Posted 14 days ago
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