3,776 Bioinformatician jobs in India
Senior Bioinformatician
Posted 2 days ago
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Key Responsibilities:
- Design, develop, and optimize bioinformatics pipelines for the analysis of high-throughput sequencing data.
- Perform statistical analysis of biological data to identify significant findings and trends.
- Develop and implement algorithms for data integration, visualization, and interpretation.
- Collaborate with experimental scientists to define research questions and analytical strategies.
- Interpret results and present findings to both technical and non-technical audiences.
- Contribute to the development of new bioinformatics tools and methodologies.
- Manage and maintain large biological datasets.
- Ensure data integrity and reproducibility of analyses.
- Stay updated with the latest advancements in bioinformatics and computational biology.
- Mentor junior bioinformaticians and provide technical support.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of experience in bioinformatics analysis, with a focus on genomics or transcriptomics.
- Proficiency in programming languages such as Python, R, and Perl.
- Experience with standard bioinformatics tools and databases (e.g., BLAST, Ensembl, TCGA).
- Strong understanding of statistical methods and machine learning algorithms.
- Familiarity with cloud computing platforms (AWS, GCP) and containerization technologies (Docker).
- Excellent problem-solving and critical thinking skills.
- Strong written and verbal communication skills for scientific reporting and collaboration.
- Ability to work effectively independently and as part of a multidisciplinary team in a hybrid environment.
This is a rewarding opportunity for a talented bioinformatician to contribute to groundbreaking scientific research in a dynamic and supportive environment.
Lead Bioinformatician
Posted 2 days ago
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Job Description
Key responsibilities include developing computational tools and algorithms to support research projects, ensuring the integrity and accuracy of data analysis. You will collaborate closely with molecular biologists, geneticists, and other scientists to address complex biological questions and drive discovery. This role requires a deep understanding of statistical genetics, machine learning, and data mining techniques applied to biological data. You will be expected to manage data repositories, ensure efficient data processing workflows, and stay at the forefront of bioinformatics advancements. Excellent communication skills are vital for presenting findings to both technical and non-technical audiences, publishing research, and collaborating with external partners.
The Lead Bioinformatician will also play a key role in grant writing and securing research funding. Proficiency in programming languages such as Python, R, and Perl, along with experience in using high-performance computing environments and relevant bioinformatics databases and software (e.g., BLAST, GATK, Galaxy) is essential. If you are passionate about leveraging computational approaches to unravel complex biological systems and thrive in a remote, collaborative scientific environment, this is an unparalleled opportunity to make a significant impact in the field of R&D.
Responsibilities:
- Lead the development and implementation of bioinformatics pipelines and analytical workflows.
- Analyze large-scale genomic, transcriptomic, and proteomic datasets.
- Develop computational tools and algorithms to support biological research.
- Collaborate with research scientists to interpret data and derive biological insights.
- Mentor and guide junior bioinformaticians and research staff.
- Manage bioinformatics data repositories and ensure data integrity.
- Stay current with the latest advancements in bioinformatics and computational biology.
- Contribute to scientific publications and presentations.
- Participate in grant writing and research proposal development.
- Ph.D. or equivalent in Bioinformatics, Computational Biology, Computer Science, or a related field.
- Minimum of 8 years of progressive experience in bioinformatics research and analysis.
- Proven experience leading bioinformatics projects and teams.
- Expertise in programming languages such as Python, R, and Perl.
- Strong knowledge of statistical genetics, machine learning, and data mining.
- Experience with high-performance computing (HPC) environments.
- Proficiency with bioinformatics databases, tools, and software.
- Excellent scientific writing and communication skills.
- Ability to work independently and effectively in a remote team setting.
Senior Bioinformatician
Posted 2 days ago
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Job Description
Key responsibilities include designing and executing bioinformatics analyses, interpreting complex genomic data, and developing novel algorithms or computational tools to address specific research questions. You will collaborate closely with biologists, geneticists, and other researchers to provide bioinformatics support, assist in experimental design, and interpret results. This role involves managing and curating biological databases, ensuring data integrity and accessibility. You will also be responsible for staying current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields, and presenting findings to the research team and at scientific conferences.
The ideal candidate will hold a 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 is required, with a proven track record of analyzing large biological datasets. Proficiency in programming languages commonly used in bioinformatics, such as Python, R, and Perl, is essential. Experience with various bioinformatics tools, databases, and software packages (e.g., BLAST, GATK, SAMtools) is mandatory. Strong knowledge of statistical methods and machine learning techniques applied to biological data is highly desirable. Excellent problem-solving, communication, and collaboration skills are necessary, along with the ability to work independently and manage multiple research projects effectively in a remote environment. Join our innovative team and push the boundaries of scientific knowledge.
Senior Bioinformatician
Posted 2 days ago
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Job Description
Key responsibilities will involve:
- Designing, developing, and validating bioinformatics pipelines for analyzing large-scale genomic and transcriptomic data.
- Implementing and applying statistical methods and machine learning algorithms for biological data analysis.
- Interpreting sequencing data (e.g., WGS, WES, RNA-Seq) and providing insights into genetic variations, gene expression patterns, and molecular mechanisms.
- Developing and maintaining robust data management systems and databases for research projects.
- Collaborating with cross-functional teams to define research questions and design experiments.
- Presenting findings and methodologies to internal teams and at scientific conferences.
- Staying abreast of the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Mentoring junior bioinformaticians and contributing to team knowledge sharing.
The successful candidate will have a Master's or Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field. A minimum of 5 years of relevant industry or academic research experience is required. Proficiency in programming languages such as Python and R is essential, along with experience using bioinformatics tools and databases (e.g., BLAST, ENSEMBL, TCGA). Familiarity with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker) is a significant plus. Excellent communication and interpersonal skills are mandatory for this remote role. This is an exceptional opportunity to contribute to cutting-edge research in a dynamic and supportive environment. The successful applicant will be based remotely, with the potential to contribute to research impacting various scientific domains.
Remote Bioinformatician
Posted 2 days ago
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Job Description
Key Responsibilities:
- Analyze large genomic and proteomic datasets.
- Develop and optimize bioinformatics pipelines and algorithms.
- Implement statistical analysis methods for biological data.
- Collaborate with interdisciplinary research teams.
- Perform data visualization and report generation.
- Ensure data integrity and reproducibility.
- Utilize programming languages like Python and R for data analysis.
- Stay abreast of the latest bioinformatics tools and techniques.
- Contribute to manuscript preparation and presentations.
- Manage and process data on cloud platforms.
Senior Bioinformatician
Posted 2 days ago
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Job Description
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for high-throughput sequencing data analysis (e.g., RNA-Seq, WGS, ChIP-Seq).
- Analyze and interpret large-scale biological datasets to identify key findings, biomarkers, and therapeutic targets.
- Develop and apply statistical methods for data analysis and interpretation.
- Collaborate closely with experimental biologists and clinicians to define research questions and interpret results.
- Develop and maintain databases for biological data management and retrieval.
- Visualize complex biological data to effectively communicate findings to both scientific and non-scientific audiences.
- Write well-documented code in languages such as Python, R, or Perl.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and methodologies.
- Contribute to the preparation of manuscripts for publication and grant proposals.
- Provide guidance and mentorship to junior bioinformaticians and research staff.
- Troubleshoot and optimize existing bioinformatics workflows.
- Ensure data quality and integrity throughout the analysis process.
- Participate in interdisciplinary team meetings and present research findings.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 4-6 years of hands-on experience in bioinformatics, with a focus on analyzing genomic and transcriptomic data.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Bash).
- Experience with common bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical methods and their application to biological data.
- Experience with data visualization tools.
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and workflow management systems (e.g., Nextflow, Snakemake) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage multiple projects effectively.
- Experience in a hybrid work environment.
Senior Bioinformatician
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and implement bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., RNA-Seq, ChIP-Seq, WGS, WES).
- Develop and apply statistical methods for data analysis, interpretation, and visualization.
- Utilize programming languages such as Python, R, and Perl for data manipulation and analysis.
- Collaborate with experimental biologists to define research questions and design appropriate analyses.
- Annotate and interpret genomic and proteomic data.
- Develop and maintain databases for biological data management.
- Contribute to the development of novel algorithms and computational tools.
- Present findings at scientific meetings and contribute to manuscript preparation.
- Mentor junior bioinformaticians and provide training on bioinformatics tools and techniques.
- Ensure data integrity, reproducibility, and adherence to best practices in computational biology.
- Troubleshoot and resolve technical issues related to data analysis pipelines.
- Stay current with advancements in bioinformatics, genomics, and related fields.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 4 years of post-graduate experience in bioinformatics research.
- Extensive experience with next-generation sequencing (NGS) data analysis.
- Proficiency in at least one scripting language (Python, R, Perl) and experience with relevant bioinformatics libraries.
- Strong understanding of molecular biology, genetics, and genomics.
- Experience with statistical software and methods.
- Familiarity with database management systems (e.g., SQL).
- Excellent problem-solving and critical-thinking skills.
- Strong written and verbal communication skills, with the ability to communicate complex scientific concepts clearly.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
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Senior Bioinformatician
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design and implement bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Develop and apply computational methods for variant calling, gene expression analysis, and pathway analysis.
- Integrate and analyze multi-omics data (genomics, transcriptomics, proteomics) to uncover biological insights.
- Collaborate closely with biologists, clinicians, and other researchers to define research questions and design experiments.
- Develop and maintain databases for biological data management and retrieval.
- Write custom scripts and software tools to automate analysis workflows.
- Interpret analysis results and present findings to research teams and stakeholders.
- Contribute to manuscript preparation for peer-reviewed publications.
- Stay updated with the latest advancements in bioinformatics tools, algorithms, and databases.
- Provide guidance and training to junior bioinformaticians and research staff.
- Ensure data integrity, reproducibility, and adherence to best practices in computational biology.
- Troubleshoot computational issues and optimize existing pipelines.
Qualifications:
- 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 analysis, with a focus on NGS data.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Bash).
- Experience with standard bioinformatics tools and databases (e.g., SAMtools, GATK, Ensembl, UCSC Genome Browser).
- Familiarity with high-performance computing (HPC) environments and cloud computing platforms.
- Strong understanding of molecular biology, genetics, and genomics.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Experience with data visualization tools is a plus.
- Ability to manage multiple projects and meet deadlines in a fast-paced research environment.
This role offers a stimulating environment for a researcher passionate about leveraging computational approaches to advance biological understanding and contribute to significant scientific breakthroughs.
Senior Bioinformatician
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Analyze next-generation sequencing (NGS) data, including whole-genome sequencing, exome sequencing, and RNA-Seq.
- Develop and optimize bioinformatics pipelines for data processing, quality control, and variant calling.
- Perform statistical analysis and data mining to identify significant biological patterns and associations.
- Integrate diverse biological datasets, such as genomics, transcriptomics, proteomics, and metabolomics.
- Collaborate closely with molecular biologists, geneticists, and clinicians to interpret research findings and guide experimental design.
- Develop and maintain databases for storing and managing large biological datasets.
- Implement machine learning algorithms for predictive modeling and data interpretation.
- Contribute to the publication of research findings in peer-reviewed journals and present results at scientific conferences.
- Mentor junior bioinformaticians and provide technical guidance.
- Stay updated with the latest advancements in bioinformatics tools, algorithms, and biological research.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of hands-on experience in bioinformatics analysis, with a proven track record in handling large-scale omics data.
- Proficiency in programming languages such as Python, R, and Perl.
- Strong knowledge of statistical methods and machine learning techniques.
- Experience with various bioinformatics databases (e.g., NCBI, Ensembl, UniProt) and tools (e.g., BLAST, GATK, SAMtools).
- Familiarity with cloud computing platforms (AWS, Google Cloud) is advantageous.
- Excellent understanding of molecular biology, genetics, and genomics.
- Strong problem-solving skills and the ability to work independently.
- Effective communication and collaboration skills for working with interdisciplinary teams remotely.
- Demonstrated ability to publish research and contribute to scientific discourse.
Senior Bioinformatician
Posted 2 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).
- Perform complex statistical analyses and data mining on diverse biological datasets.
- Develop and apply machine learning algorithms for pattern recognition and predictive modeling in biological systems.
- Collaborate with experimental scientists to interpret results and translate findings into biological insights.
- Contribute to the design of experiments, providing computational support and guidance.
- Develop and maintain databases for biological data storage and retrieval.
- Visualize complex biological data effectively for presentations and publications.
- Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology.
- Mentor junior bioinformaticians and provide technical guidance.
- Write clear and concise documentation for pipelines, software, and analytical methods.
- Participate in grant writing and manuscript preparation.
- Ensure data integrity and security throughout the analysis process.
- Troubleshoot and resolve technical issues related to bioinformatics tools and workflows.
- Present findings at scientific conferences and internal meetings.
- Contribute to the development of novel research strategies and projects.
Qualifications:
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of hands-on experience in bioinformatics analysis, with a strong publication record.
- Proficiency in programming languages such as Python, R, and Perl.
- Expertise in using bioinformatics tools and databases (e.g., BLAST, KEGG, Ensembl, UCSC Genome Browser).
- Experience with next-generation sequencing data analysis and associated software (e.g., BWA, GATK, DESeq2).
- Strong understanding of statistical principles and methods for biological data analysis.
- Experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and cluster computing environments.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Experience with data visualization tools (e.g., Matplotlib, ggplot2, Tableau).
- Knowledge of molecular biology principles and experimental techniques is essential.
- Proven ability to work independently and contribute to team goals.
- Experience in a research-intensive academic or industry setting.