Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
The Prabhakar group has an opening for a Postdoctoral Fellow in the area of statistical epigenomics and human population variation. The group has initiated multiple large-scale projects that use Next-Gen sequencing to understand the role of transcriptional regulation and epigenomics in mediating the effects of genetic variants on human development and disease. Specific areas of interest include stem cell development and neuronal disorders such as autism and major depression.
The Fellow will be expected to lead the development of statistical techniques and algorithms for analyzing next-gen sequence data and polymorphism data in control and affected cohorts. The role will involve close collaboration with wet-lab members of the group to interpret data and design new experiments.
Candidates should have a PhD in a mathematical discipline, a solid conceptual understanding of probability and statistics, programming experience, a strong publication record and experience in one or more of the following areas: genome-scale analysis, epigenomics, next-gen sequence analysis and gene regulatory sequence analysis. A basic conceptual understanding of molecular biology as it relates to genomics is highly desired.
To apply, please email your CV and names of references to: firstname.lastname@example.org
Genome Institute of Singapore
60 Biopolis Street
* We regret that only shortlisted candidates will be notified.
The Genome Institute of Singapore (GIS) is an institute of the Agency for Science, Technology and Research (A*STAR). It has a global vision that seeks to use genomic sciences to improve public health and public prosperity. Established in 2001 as a centre for genomic discovery, the GIS will pursue the integration of technology, genetics and biology towards the goal of individualized medicine.
The key research areas at the GIS include Systems Biology, Stem Cell & Developmental Biology, Cancer Biology & Pharmacology, Human Genetics, Infectious Diseases, Genomic Technologies, and Computational & Mathematical Biology. The genomics infrastructure at the GIS is utilized to train new scientific talent, to function as a bridge for academic and industrial research, and to explore scientific questions of high impact.