Job Description

The National Institute of Biomedical Genomics (NIBMG) has been established as an autonomous institution by the Government of India, under the aegis of the Department of Biotechnology. This is the first institution in India explicitly devoted to research, training, translation & service and capacity-building in biomedical genomics.

Qualification & Experience :

Essential : Graduate from any recognized University and P.G. Diploma in Management (Personnel/Human Resource/Masters in Management Studies (Human Resource Management)/Masters in Business Administration (Human Resource)/from any recognized University with at least four years of experience in relevant administrative work.

Desirable : Knowledge of Central Government rules. Work experience in an Academic Institution.

Age Limit : Not exceeding 40 years as on the closing date of receipt of applications.

Website : http://www.nibmg.ac.in/

Reference Id : http://www.nibmg.ac.in/admin/detailed%20adv-2018-2019_1.pdf


Key Skills

Functional Area

HR / Recruitment / Administration / IR

Number of Vacancy

1

Last Apply Date

2018-07-01

Education

B.A, B.Com, B.Sc, Other Master Degree


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.

Website:http://www.nibmg.ac.in/

Reference Id:http://www.nibmg.ac.in/admin/detailed%20adv-2018-2019_1.pdf

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