Qualification File (2).pdf

Bioinformatics Scientist

  • Job DescriptionBioinformatics Scientist is responsible for importing and pre-processing data including metabolomics, structural bioinformatics, transcriptional, genomics, proteomics, drug discovery clinical trial and any other kind of biological data. S/he is accountable to perform exploratory analysis and interpretation of the data in the context of relevant biological literature to generate actionable insights for biologists. The individual performs research and designing/reshaping of algorithmic models for identification, troubleshooting, and implementation of improvements to existing pipelines. S/he mentors a team. 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.
  • Originally Approved25th NSQC meeting - June 2020
  • Last Revised
  • Code2020/LS/LSSSDC/03778
  • SectorLife Sciences
  • NSQF LevelLevel 5
  • Notional Hours1100
  • Accrediting BodiesLife Sciences Sector Skill Development Council
  • Certifying BodiesLife Sciences Sector Skill Development Council
  • Proposed Occupation

    Bioinformatics Scientist

  • International Comparability

    While preparing the NOSs, a detailed secondary desk research was conducted. The European, South African and Australian NOSs were referred to. The relevant International NOSs for the job role are listed below for reference
    UK NOS
    •COGLS322 Plan, conduct and manage projects, operations or
    investigations in life sciences and related industries
    •COGBIO-06 Visualize and interpret the results of computational analysis of life
    science data
    •COGBIO-05 Carry out computational analysis of life science-related data
    •COGLS305 Provide technical advice and guidance in life sciences and

  • Progression Pathway

    Upward progression
    1.Lab Manager Bioinformatics(Level 6)
    2.Senior Scientist- Bioinformatics(Level 6)

  • Planned arrangements for RPL

    Process to award the qualification via RPL mode and detailed methodology is given in point No.22.

  • Qualification File Qualification File (2).pdf
  • Supporting Documents
  • Formal structure of the qualification
    Title of unit or other component Estimated size (Hours) Level
    Orientation for Bioinformatics Occupation 10 Bridge
    SSC/N8101 Import data as per specifications 50 6
    SSC/N8102 Pre-process data as per specifications 50 6
    SSC/N8103 Perform exploratory data analysis as per specifications 50 6
    SSC/N8104 Perform research and design of algorithmic models 250 8
    LFS/N3904 Apply the concepts of Biology, Genomics and Proteomics for visualization and evaluation 200 5
    SSC/N8108 Define business outcomes and create visualizations from results of the analysis 70 5
    SSC/N9001 Manage your work to meet requirements 70 6
    SSC/N9002 Work effectively with colleagues 30 6
    SSC/N9006 Build and maintain relationships at the workplace 30 6
    SSC/N9007 Build and maintain client satisfaction 30 6
    SSC/N9010 Convince others to take appropriate action in different situations 30 6
    Total A 30 5
    Elective components 900 5
    Elective 1 SSC/N8106 Evaluate risk of deploying algorithmic models
    Elective 2 SSC/N8107 Evaluate business performance of algorithmic models 100 7
    Total B 100 7
    Total (A+B) 200
    1100
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