Syngene Bioinformatics Jobs, Computational Biology Eligible to Apply
Title: Computational Biologist
Date: 5 May 2025
Job Location: Bangalore
Role: Computational biologist
Level: 9-II
Job Summary: We are seeking a highly skilled and experienced computational biologist to join our team. The ideal candidate will have a proven track record in multi-omics data analysis. They will be responsible for integrative analyses and contributing to the development of novel computational approaches to uncover biological insights.
Key Responsibilities:
- Develop computational workflows to integrate various -omics data to generate inference and hypotheses to test.
- Implement best practices for version control, modularization, and documentation of pipelines.
- Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics.
- Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets.
- Create high-quality, publication-ready visualizations to communicate complex datasets and analysis results effectively.
- Stay current with advancements in bioinformatics tools, algorithms, and methods, particularly in multi-omics and network biology.
Technical Skills
Mandatory:
- Programming: Proficiency in Python or R for data analysis, visualization, and pipeline development.
- Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets.
- Biological networks: Familiarity with gene regulatory networks and protein-protein interaction networks.
- Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn, or D3.js).
Preferred:
- Graph and Network biology: Basic understanding of graph theory, networks, and their applications in biological contexts.
- Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing.
- Cloud computing: Experience working with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools like Docker or Singularity.
Qualifications:
- A Bachelor’s or Master’s degree in bioinformatics, Computational Biology, or a related field.
- At least 3-5 years of hands-on experience in multi-omics data analysis
- Excellent communication and collaboration skills, with a demonstrated ability to work in multidisciplinary teams.
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