Postdoctoral Researcher, Single Cell Computational Epigenomics
Epigenetics and Genomics Laboratory (Lister Lab)
Harry Perkins Institute of Medical Research
- Full-time appointment: 2 year fixed term basis, based at Harry Perkins Institute of Medical Research
- Salary Range (Level A): $68,452 to $92,497 (plus 17% superannuation)
- Salary Range (Level B): $97,310 to $115,350 (plus 17% superannuation)
A post-doctoral position is available within the the Epigenetics and Genomics Laboratory, led by Ryan Lister and located at the Harry Perkins institute of Medical Research and the UWA Centre for Medical Research (CMR), within the Faculty of Health and Medical Sciences. The Lister Lab is comprised of molecular, cellular and computational biologists, forming a multi-disciplinary team environment undertaking a diverse range of epigenetics and genomics research. We utilize molecular, cellular, genomic and computational approaches in multiple systems to investigate cellular mechanisms that control the usage of information encoded in the genome, and their roles in cell function and development. We have a particular interest in characterization and manipulation of the epigenome and cell identity using genomic and synthetic approaches.
This position is for a computational biologist to undertake research in the area of mammalian single cell epigenomics. The successful applicant will have the opportunity to lead the computational components of research projects using sequencing-based high-throughput single cell epigenome profiling techniques to investigate epigenome patterns and dynamics in the context of neural development and neurological disorders. The appointee will collaborate closely with experimental biologists in the group and will lead the computational analysis and interpretation of genomic datasets, in addition to contributing to experimental design and project direction.
You will have a background in computational biology and experience in single cell genomics are encouraged to apply. Candidates should have a PhD in a relevant discipline (Bioinformatics, Computer Science, Molecular Biology, etc). Demonstrated expertise in at least one common programming language (e.g. R, Python, Perl, C++, Java) and software version control (e.g. GitHub) is essential. Previous experience in the analysis of high-throughput sequencing data and statistical modeling of high-dimensional data is highly desirable. Expertise in regulatory genomics analyses and genome scale integrative analysis of experimental datasets is highly desirable (e.g. RNA-seq, ChIP-seq, DNA methylation, chromatin accessibility, sequence analysis). An understanding of the experimental techniques underlying such genomics experiments is advantageous. This is a full-time position, initially for a period of two years, with the possibility of further extension.
Full details of the position’s responsibilities and the selection criteria are outlined in the position description and applicants should clearly demonstrate they meet the selection criteria.
Closing date: 1st July, 2018
This position is open to both national and international applicants.
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