Technical Specialist (ICGC) jobs in Kalyani (Nadia) - National Institute of Biomedical Genomics

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  • Applicants Less than 5 Applicants
  • 2019-02-16

Job Description

Online applications are invited for the post of Technical Specialist in National Institute of Biomedical Genomics, Kalyani, West Bengal.

Essential Qualifications : (1) M.Sc or equivalent (or B.Sc with 3 years laboratory experience) in Genetics/Life Sciences/Biochemistry/related discipline; (2) Minimum 1 year of experience in genomics laboratory work.

Desirable Qualifications : (1)Hands-on experience in massively parallel sequencing/ Sanger-CE sequencing/ microarray based genotyping or gene expression.

Nature of Duties : Hands-on massively parallel sequencing laboratory work and instrument operations as well as other related laboratory activities.

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Government / Public Services / Defence

Functional Area

Medical / Health Care / Hospitals

Number of Vacancy


Last Apply Date



B.Sc, M.Sc

About National Institute of Biomedical Genomics

We are looking for motivated and bright individuals interested to explore career opportunities in this innovative multi-organization initiative in Systems Medicine in the positions at NIBMG mentioned as below:
Qualification : (1)B.Tech/M.Tech, MSc or equivalent in Computer Science/Computer Applications/ Bioinformatics or a related discipline (2) High proficiency in programming in C/C++, Java or python (3) Proficiency in UNIX command line scripting and (4) Prior experience in high through put data (NGS) analysis (5) Strong communication skills and the ability to work as part of the team is essential.
Desirable Qualifications : (1) Handling of software packages and genomic databases (2) Experience in handling large volume DNA sequence / genotyping data in large projects.
Nature of Duty : (1) QA/QC and analysis of raw sequence data generated by massively parallel DNA sequencing platforms, (2) Programing, design and operation of massively parallel DNA sequencing data analysis pipelines and (3) Report writing DNA sequencing data analysis pipelines.


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