The next frontier in human genomics explores its tissue specific function and the impact of the environment on the genome. The CIHR Canadian Epigenetics, Environment and Health Research Consortium (CEEHRC) has awarded McGill University funding (2012-2017) to establish one of two National Epigenomic Mapping Centres (EMCs) as well as an Epigenomic Data Coordination Centre (EDCC), which will operate under the principles of the International Human Epigenome Consortium (IHEC). The McGill EMC is located in the McGill University and Génome Québec Innovation Centre (Montreal, Canada), a world-class research facility for genomics and bioinformatics located on McGill University’s main campus. The facility holds a number of high-throughput sequencing technology platforms, automated laboratory processes, and large-scale computing supporting an array of genome-wide epigenome mapping techniques (including MethylC-seq, ChIP-seq, RNA-seq).
We are seeking a number of highly motivated and team-oriented individuals with good organizational, interpersonal, and communication skills to join the EMC and EDCC teams to tackle challenges in next-generation epigenomics within a dynamic, multi-disciplinary environment.
Start-date: immediate. Duration: up to 4 years.
POST-DOCTORAL FELLOWS IN COMPUTATIONAL EPIGENOMICS
A bioinformatics postdoctoral fellow will join a multidisciplinary team of biologists, genomicists, and bioinformaticians within the EMC. The project aims at mapping epigenetic marks (methylation, histone marks, gene expression) in healthy and patient-derived human tissue samples, and linking epigenetic variation to environmental, genetic and phenotypic variation.
Primary and higher order analysis of epigenomics data, deconvolve mixed signals due to imperfect sample collection, and integrate them in order to reveal the mechanisms at play and their phenotypic consequences. He/she will face a number of algorithmic and statistical challenges whose solutions will have the potential of being published as methods papers, while specific data analyses will be published in collaboration with the team.
The successful candidate will hold a Ph.D. in bioinformatics or closely related area and will have experience in regulatory genomics or epigenomics. Ability to manage and analyze large biological data sets coming from next generation sequencing is a must, as is working knowledge of algorithms and statistics, and the ability to interact and communicate with biologists.
HOW TO APPLY
Applicants should submit a cover letter explaining their qualifications and their interest in these positions, a curriculum vitae and the names and contact information for two individuals who could provide letters of recommendation. Applications and any inquiries should be sent to firstname.lastname@example.org