Research Fellow – Postdoctoral
Job No.: 587333
Location: Clayton campus
Employment Type: Full-time
Duration: 3 year fixed-term appointment
Remuneration: $86,025 – $92,343 pa Level A PhD (plus 17% employer superannuation)
· Be inspired, every day
· Drive your own learning at one of the world’s top 80 universities
· Take your career in exciting, rewarding directions
Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.
Two Postdoctoral positions are available immediately, to join the newly formed Gastrointestinal Genetics Research Group directed by Prof Mauro D’Amato at the School of Biological Sciences, Monash University. Our team combines genomic, computational and pre-clinical expertise to elucidate the pathogenetic mechanisms predisposing to gastrointestinal (GI) disease. The druggable genome, nutrigenetics and host (genome) – microbiota interactions are also new research lines within the group. We take advantage of an extremely vast network of international collaboration with academic, clinical and pharma partners worldwide; the ultimate goal of our studies is their translational application for therapeutic precision in ga*stroenterology.
The Candidate’s Responsibilities:
We are seeking a bioinformatician/computational biologist for large-scale genetic, metagenomic and multi-omics research projects, focused on the genetic causes of inflammatory bowel disease, irritable bowel syndrome, microscopic colitis and other GI conditions. The successful candidate will be mainly responsible for project(s) involving large-scale data analysis (genomics, (epi)genetics, transcriptomics, metagenomics etc), the intrepretation of results and their communication in scientific journals and at international meetings.
The Candidate’s Attributes:
· PhD in computer science, bioinformatics, biostatistics, genetics, biology or related field, with experience in analysis of large datasets (previous experience of working with large-scale biobank data is considered a special merit)
· Experienced user of R/Bioconductor, Python and programming languages. Unix environments and high-performance computing clusters
· Demonstrated knowledge of bioinformatic and computational approaches to the study of human genetic diseases, and good understanding of the “biology” behind scientific questions
· Computational skills associated with genome-wide analyses (GWAS, EWAS, NGS, miRNA, transcriptomics, metagenomics etc), multivariate analyses, meta-analyses
· Additional background in mathematics, statistics, and machine learning is a plus
· Team-work attitude, impeccable organizational skills, and previous participation in international research activities/projects/publications
· Excellent spoken and written English
This role is a full-time position; however, flexible working arrangements may be negotiated.
At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check.
Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs".
Prof Mauro D’Amato, School of Biological Sciences, firstname.lastname@example.org
To view the position description, please click the application link provided.
Thursday 21 February 2019, 11:55 pm