The UNC Department of Pathology and Laboratory Medicine (DPLM) is seeking applicants for a research track assistant professor position with expertise in computational medicine and bioinformatics. Responsibilities will include designing and carrying out a high quality research project with evidence of capacity to obtain external funding, collaborating with existing research programs, training undergraduate and graduate students, and participating in the Department's service programs.
Education and Experience:
Previous experience handling large data sets related to cardiovascular research is preferred. The successful candidate will be expected to conduct research aimed at determining transciptomic, post-transcriptomic and epigenomic features at single cell level underlying the progression of cardiovascular disease, and actively participate in promoting the overall research direction of the laboratory that aims to develop innovative approaches to regenerate or repair an injured heart, and to understand the molecular basis of cardiomyocyte specification and maturation and apply this knowledge to improve efficiency and clinical applicability of cellular reprogramming in heart disease. Candidates must have research experience in the fields of bioinformatics, biostatistics, as well as knowledge of cellular reprogramming and cardiovascular disease. The ideal candidate will have excellent experience demonstrated by publications in developing of statistical methods and computational tools for clustering and batch effect correction of single-cell RNA-seq and functional evaluation of chromatin spatial organization using ATAC-seq and Hi-C data. The candidate must have comprehensive knowledge of genomics data such as RNA-seq, ChIP-seq, ATAC-seq, Hi-C and human cardiovascular diseases as well as an in-depth understanding of how to analyze single cell genomics data. Experience in R package and basic algorithms for sequencing data is required. Experience in mentoring and guiding data analysis work of undergraduate and graduate students is strongly preferred. Candidates should demonstrate the ability to establish and collaborate in multidisciplinary, funded research programs, ability to publish in quality journals, as well as a clear track record of scholarly accomplishment within the field of genetics and bioinformatics.
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.
Internal Number: 167500
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