Computational biologist For NGS data analysis

Analysis of Exome seq / RNA seq / CUT RUN / ATAC seq / Hi C / other NGS data sets generated in-house or elsewhere for various cancers to identify driver mutations, alternative/ novel transcript isoforms, and study transcript fusions, allele specific expression and RNA editing; training will be provided to learn required skills.

The principal research interest of the lab is to comprehensively understand the biology of specific cancer types that are common in India and distinct from their western counterpart(s). Based on results obtained from 25 years of work performed on patient-derived colorectal, pancreatic, esophageal and oral tumor samples, they are presently studying the canonical and aberrant functions of chromatin remodelers ARID1B and ARID2. In parallel, based on funding from the DBT- Wellcome Trust India Alliance, they use genomics and cutting edge molecular / cellular / clinic-pathological approaches to comprehensively characterize early-onset colorectal cancer in the Indian population.

Age Limit: 45 years (relaxable as per Government of India guidelines)