We are seeking a Staff Scientist for projects within the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). The NCI funded consortium is integrating somatic and germline genetics with environmental risk factors in order to identify susceptibility genes associated with colorectal cancer risk, and investigate interactions between genes and environmental factors. Analyses will be conducted for several well-characterized studies such as the Women's Health Initiative (WHI), the Nurses Health Study (NHS), and the Prostate, Lung, Ovarian, and Colorectal Cancer Screening Trial (PLCO), among others.
We are seeking a highly motivated PhD-level Staff Scientist to play a key role in supporting research carried out within the GECCO team. S/he will work closely with Drs. Ulrike Peters and Li Hsu, as well as the project manager, statistical research associates, post-doctoral research fellows, data coordinator, programmers, and staff scientists that make up our multidisciplinary consortium research team. The staff scientist will access data from publicly available resources (such as GTEx, TCGA, ENCODE, and Roadmap), develop analytic techniques, and support analysis of a diverse array of high dimensional data, including somatic targeted sequencing data, genome wide association study data, and gene expression data.
The candidate will have exciting opportunities to determine optimum study designs and computing decisions, establish analysis pipelines and databases, and optimize efficient use of the high performance computing environment for large-scale analyses. S/he will have encouragement and support to develop knowledge and skill-sets for performing quality control and data analyses, running simulations and piloting new analytic methods, implementing relevant methods, and publishing research results.
Experience in the analysis of large and complex high-dimensional genotype data are important qualifications for this position, and experience in statistical and epidemiological methods a encouraged. In addition, the staff scientist will devote some time to grant writing, utilizing the large resources and infrastructure in GECCO.
The successful candidate will have a PhD in a scientific or computational discipline (e.g., bioinformatics, biostatistics, molecular biology, etc.) with research experience in genetic epidemiology and/or biostatistics. Proficiency in the analysis and design of GWAS and sequencing studies, with proficiency in R programming language is required.
Knowledge of a range of bioniformatics software tools and databse resources, as well as previous experience analyzing somatic sequence data and working with a high-performance computing environment is a plus. Excellent oral and written communication skills are required, as the work will be done within a collaborative consortium setting.
Excellent organizational skills, the capacity to multi-task, and ability to work on multi-center/multi-disciplinary teams are essential. The incumbent will be expected to work independently as well as collaborate with analysis teams to complete analysis projects and develop statistical methods related to the data analysis. In addition, he/she will participate in the presentation of research and in the writing of publications to disseminate analyses.
If interested, please apply online at http://track.tmpservice.com/ApplyClick.aspx?id=2206518-2647-7221