Center for Health Science & Technology

Why CHeST ?

With the aim to sow seeds of new age experts in the field of medical biotechnology, molecular microbiology, computational biology and bioinformatics, CHeST – JISIASR Kolkata brings in job-oriented translational research-based post-graduate programs which will make the students ready to contribute to the data-driven discoveries in life sciences, an obvious need in this era of omics technologies and exponential growth of high-throughput data.

CHEST Overview
Courses Offered

Why these courses ?

The call of technological expertise in both academic and industry sectors of health science can only be ever-increasing. There is a continuous need for biotechnological developments, especially for direct medical applications. Simultaneously, the advent of newer technologies asks for powerful bioinformatic solutions on how to extract, tackle, analyze and visualize the biologically meaningful data for subsequent research and industrial applications. This scenario puts qualified bioinformatics professionals, especially the ones with expertise in analyzing medical biotechnology data, in high demand for top-salary jobs worldwide.

As we collaborate with many academic and industry professionals from premiere institutes across the globe, the in-house strong pool of faculty members will be optimally complemented by collaborating renowned members from academia and industries for offering classes to our students.

In-house Facilities

It is enriched with advanced molecular genomics, biotechnology and bioinformatics laboratories with avant-garde equipment like: Illumina MiSeq · TapeStation · RT-PCR · UV spectrophotometer · Fluorescence Spectrometer · Cold Centrifuge etc. with computational clusters (DELL PowerEdge rack-servers, NVIDIA GPUs and fast processing units to achieve increased throughput for large biological data)

Thrust Areas for PhD Program

  • Evolution of virulence and antibiotic resistance
  • Host-pathogen interactions
  • Human microbiome in health and disease
  • Machine learning in healthcare
  • Medical microbiology
  • Medical image analysis
  • Molecular modelling and drug design
  • NGS data mining and methodology development