Exploration of cell-free DNA-based, liquid biopsy biomarkers for the early-detection of gastrointestinal cancers (including colorectal, pancreatic, gastric, liver and esophageal); Establish innovative methodologies involving non-coding RNAs-based biomarkers for the earlier diagnosis, prognosis and predictive responses to chemotherapy in gastrointestinal neoplasia; Understanding the genetic basis of early-onset and familial/hereditary colorectal cancers; Molecular mechanisms of cancer pathogenesis, the role of stem cells in the context of chemo resistance chemo-sensitization in cancer cells; Gut microbiome and its influence in gastrointestinal cancers
Requirements:
PhD in bioinformatics, computer science, data science, mathematics, statistics, physics or equivalent; Hands-on and documented experience in analyzing RNA-Seq data, small RNA-Seq data, Methylation sequencing, WES, 16S RNA seq etc; Ability to do multi-omic analysis using a combination of various sequencing datasets
Text:
Postdoctoral Fellow - Computational Biology, Biostatistics and Bioinformatics Exploration of cell-free DNA-based, liquid biopsy biomarkers for the early-detection of gastrointestinal cancers (including colorectal, pancreatic, gastric, liver and esophageal); Establish innovative methodologies involving non-coding RNAs-based biomarkers for the earlier diagnosis, prognosis and predictive responses to chemotherapy in gastrointestinal neoplasia; Understanding the genetic basis of early-onset and familial/hereditary colorectal cancers; Molecular mechanisms of cancer pathogenesis, the role of stem cells in the context of chemo resistance chemo-sensitization in cancer cells; Gut microbiome and its influence in gastrointestinal cancers PhD in bioinformatics, computer science, data science, mathematics, statistics, physics or equivalent; Hands-on and documented experience in analyzing RNA-Seq data, small RNA-Seq data, Methylation sequencing, WES, 16S RNA seq etc; Ability to do multi-omic analysis using a combination of various sequencing datasets
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