National Institute of Biomedical Genomics (NIBMG) Kalyani is an Institute of Government of India, Ministry of Science & Technology, Department of Biotechnology. The Institute has created necessary physical infrastructure and critical platform technologies to support research, translation and training in biomedical genomics.

Post : Post - doctoral scientist

National Supercomputing Mission (NSM) Platform for Genomics and Drug Discovery: Development of a fast, flexible, high performance computing framework to accelerate NGS omics-data analysis

Massively Parallel Sequencing or Next Generation Sequencing (NGS) has taken the scientific community by storm. After commercial availability of the technology from last decade onwards, even modest sized laboratories and institutions all over the world can effectively produce petabytes of data in weeks. Earlier the most robust Sanger sequencing technology can only generate 0.003 Gb of sequence data in a month whereas the present day an average next generation sequencers can generate 50000 Gb per month. This revolution in data generation technology, warrants an array of statistical and computational advancement to translate information into knowledge. The stumbling blocks in translating the large volume of data (information) to biologically relevant inferences (knowledge) range from (a) information storage, retrieval of the raw data as-is generated from the sequencing machine - (b) large-scale fast computation and processing that is essential for the data to be useable by the general scientific community – (c) sophisticated analysis that is required in transforming the enormous information to knowledge. Of the above, currently, (a) and (b) almost entirely falls in the domain of computational experts and basic scientists without appropriate competence in computational skills, fail to engage. Moreover, a full appreciation of (a), (b) and (c), particularly (b) and (c), require access to highly powerful computer architecture; which is even beyond the capability of a modest institute, let alone an individual. The objective of this project is to make available an easy and extremely flexible supercomputing analysis framework, preferably web-based, to the basic scientist. This would enable them to exercise their choice of programs sequentially in a seamless fashion to process the raw sequence data in accordance to their need and choice (i.e. (b)). It will also provide the research a wide array of tools for sophisticated data-analysis (i.e. (c)). The project also would keep in record, the usage of the programs and would analyze the data to optimize and synchronize among different programs and modules.

Consolidated Remuneration [INR] per month : 50,000/-

Essential Qualifications :
(1) PhD in Computer Science, Computational Biology, Bioinformatics or related discipline, (2) Demonstrated experience in development of software tools and data analysis pipelines.
(3) Demonstrated knowledge of computer programming.
(4) Strong Unix Skills

Desirable Qualifications :
(1) Published scientific papers in reputed journals.
(2) Development of web-based analysis tools and databases.

Nature of Duty :
(1) Management and coordination (including hands on work) of computational facilities, execution of data analysis for projects in time bound manner,
(2) Development of software analysis pipelines and tools for genomics application
(3) Report writing

These positions are contractual and appointments will be initially given for one year, which are extendable depending upon performance and requirements of the project. Please apply online. (no other form of application will be accepted).

The last date of application is 25th Nov, 2019. Please visit our website nibmg.ac.in for further information. Only the shortlisted candidates will be called for Interview/Test. No TA/DA will be provided for attending the Interview/Test.

The decision of NIBMG in all matters relating to eligibility, acceptance or rejection of application, mode of selection, and conduct of interviews will be final and binding on the candidates. In exceptionally meritorious cases, the eligibility requirements may be relaxed by the competent authority.