The successful candidate will work within a team in a multidisciplinary environment. The work will apply bioinformatics data analysis under the supervision of a senior bioinformatician. The work will focus on determining whether exposure to diabetes in utero is associated with altered DNA methylation patterns at birth. The work will include Methyl Seq data quality check and data normalization, methylated CpG island detection, differentially methylated region discovery, annotation of DMRs for overlap with genomic features such as promoters, CpG islands and single nucleotide polymorphisms (SNPs) that reside within the DMR enhancer, as well as functional annotation and gene ontology pathway analysis by DAVID and function enrichment analysis by GSEA. This work will include modeling of the correlation in differential DNA methylation with obesity or obesity-related complications such as hypertension and type 2 diabetes etc, or with possible confounders such as maternal BMI, gestational age, parity or smoking, or in the offspring sex, current diet, activity levels.