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Multiomics Data Analyst

NQR Code:QG-5.5-IT-02181-2024-V1-NIELIT

  • Old Code: QG-5.5-IT-02181-2024-V1-NIELIT

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About this Qualification

Job Description

Nature: ❖ This Short-term Certificate Course is targeted for creating qualified professionals in the field of Multiomics Data, which will help in employment or Entrepreneurship development of the qualifier in the areas of Health Informatics/ Medical Informatics/ Life Sciences, etc. The individual performs research and designing/reshaping of algorithmic models for identification, troubleshooting, and implementation of improvements to existing pipelines. The person also provides lead scientific, technical and knowledge support for revealing hidden patterns and information in biological big data. S/he is a key contributor in building the drug discovery platform for the future. Purpose: The purpose of this qualification is to train the students of Life Sciences with advanced-level Bioinformatics and Multiomics Data to upskill them and increase their employability in the field of Life Sciences and allied disciplines. Employability is described in Annexure-B.

Eligibility Criteria

Criteria 1 Criteria 2 Experience Training Qualification
UG Completed No Experience None
Pursuing 3rd year of 3-year/ 4-years UG In relevant field No Experience None
Previous NSQF qualification of Level 5 1.5 Years None

Progression Pathway

  • Academic: Horizontal: • Postgraduate studies in Bioinformatics • Higher level Life Science research
  • i.e.
  • Molecular Biology and Cell Biology • Level 6 in IT/Bio-IT. Vertical: • Doctoral studies in Bioinformatics • Level 7 Courses in Advanced-level Bioinformatics • Higher level courses in R Programming for Biological Data Analysis. Professional: Multiomics Data Analyst -> Analyst/programmer -> Database/program developer in industries -> Lead Scientist/Bioinformatician in Biotechnology/ Molecular Biology/ Drug Discovery/ Pharmaceutical R & D lab

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
Use of R Programming in Biological Data Analysis NIE/SSC/N1805 Mandatory 150 5 5.5
Application of Omics in Big Data Analytics NIE/SSC/N1806 Mandatory 120 4 5.5
Mathematical Modeling of Biological Networks using Systems Biology Framework NIE/SSC/N1807 Mandatory 120 4 5.5
Healthcare Informatics for Medical Data Management NIE/SSC/N1808 Mandatory 60 2 5.5
Data security law NIE/SSC/N1804 Mandatory 60 2 5.5
Employability Skills DGT/VSQ/N0103 Mandatory 90 3 5.5
Project/OJT N/A Mandatory 60 2 5.5