We are looking for an outstanding computational biologist/bioinformatician/statistical geneticist to join the laboratory of Barbara Stranger in the Section of Genetic Medicine and the Institute for Genomics and Systems Biology at the University of Chicago.
The candidate will join the Section of Genetic Medicine and the Institute for Genomics and Systems Biology to develop computational tools and lead the data analysis for projects related to functional population genomics in the context of human health and disease. Projects will include computational and statistical analysis of DNA variation (sequencing and genotypes), transcriptomics, and proteomics, contributing technically and logistically with existing collaborators to international consortia, statistical methods development and analysis of genetic and genomic data, and the integration of genetic variation and gene expression data into pathway network analysis. The successful candidate will work closely with lab members and collaborating labs to carry out analytical deliverables and strategies. Must thrive in an academic/professional atmosphere, where interdisciplinary teams are central to project success.
The research projects encompass large scale analysis of in-house data as well as Consortia and publicly-available data..
Design and implement research focusing on investigation of human genome function in healthy and disease cohorts. All projects will be related to translational or genomic research broadly defined and will include support for high throughput genomic technologies.
-Perform integrative statistical analysis of genome-wide genomic datasets, including genotype data, DNA sequence data, RNA-seq data, microarry data, proteomics data, and other high-throughput sequencing data.
- Write and implement efficient and effective code and pipelines for data processing and analysis.
- Coordinate work with other scientists in the laboratory and collaborate effectively on joint research projects within the institute and with external collaborators.
- Download and organize data repositories.
- Recognize abnormal results and trouble shoot analytic pipelines to correct problems.
- Adapt existing procedures to current work needs and make significant contributions to analysis methodology.
- Summarize results and assist in interpreting findings. Present findings at internal and external venues, and in written publications.
- Upload data for release to scientific community.
- Design and populate databases containing genome-wide analysis results.
- May provide guidance, train, assist, or mentor junior computational staff
- May assist in grant writing.