Executive-MCG(Bioinfomatics)

Role & responsibilities

• Next-Generation Sequencing (NGS) Data Analysis: Lead data analysis for diverse research projects covering Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), Targeted Panels, RNA-Seq, Microarrays, and other high-throughput modalities.
• Cross-Functional Support: Provide end-to-end analytical support to meet the day-to-day data needs of the core Analysis team.
• Data & Storage Management: Responsible for the structured management, organization, and storage optimization of large-scale genomic data for the Bioinformatics team.
• QC & Reporting: Generate Quality Control (QC) metrics and author preliminary research reports based on data insights.
• Pipeline Development & Automation: Write robust scripts to automate analysis workflows and develop scalable bioinformatics pipelines.

Preferred candidate profile

• Technical Expertise: Strong hands-on experience with NGS data analysis tools and frameworks (WGS, WES, RNA-Seq).
• Programming Skills: Proficiency in scripting languages used in bioinformatics (such as Python, R, or Bash/Shell scripting) for pipeline development and automation.
• Data Management: Familiarity with managing large biological datasets, Linux/Unix environments, and cloud or high-performance computing (HPC) storage systems.
• Analytical Mindset: Proven ability to interpret complex genomic data, perform stringent QC, and translate findings into clear, structured preliminary research reports.
• Education: Masters or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a closely related quantitative field.

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