A Project Manager position is available as part of the Impact of Genomic Variation on Function (IGVF; http://igvf.org/) consortium in the Department of Computational Medicine and Bioinformatics at the University of Michigan Medical School in the lab of Alan Boyle. Broadly, our lab focuses on enabling biological discovery through the application of computational approaches to genomic data. Our group at the University of Michigan is part of a a predictive modeling U01 as part of the $185M NHGRI IGVF project spanning 30 US research sites.
This position will focus on methods for analyzing and integrating single-cell RNA-seq data, single-cell epigenome data, and high throughput genomic perturbation data as part of the IGVF consortium with the goal of mapping genotype to phenotype. We are specifically focused on mapping genotype to changes in gene regulation and predicting how these gene regulation changes result in an overall shift in cell states. Ultimately this predicting in shifts of cell state will result in improved understanding of abnormal disease states in disease. A unique benefit of this position is the rich set of collaborative and leadership opportunities available both at Michigan and as part of the close integration with the IGVF consortium. Importantly, we will also focus on career development of these positions with the ultimate goal of helping the postdoc develop their own independent research program.
Focus on methods for analyzing and integrating single-cell RNA-seq data, single-cell epigenome data, and high throughput genomic perturbation data as part of the IGVF consortium with the goal of mapping genotype or phenotype.
Disseminate findings by writing manuscripts for peer reviewed publications and presenting findings at national professional meetings. Write for proposal applications and perform critical review of scientific literature.
Train Ph.D., masters and undergraduate students, as well as postdoctoral fellows. Mentor students in critical thinking for research project design.
Design studies and plan for future research projects.
Bachelor degree in recognized field of science or learning which is directly related to the duties of the position.
The applicant should have (or be near completion of) a Ph.D. in a computational or biological field and a track record of published research commensurate with their field. The applicant should have strong computational skills and proficiency in programming (ideally C/C++, Java, perl, python, or R). The successful candidate will have excellent organization and communication skills, collaborative spirit and strong personal motivation. Evidence of scholarly productivity in the form of journal articles, conference proceedings, and/or conference presentations is mandatory. English language proficiency is required.
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