Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2019-02-21
The Child Health Research Center in the Department of Pediatrics at the University of Virginia is seeking a Bioinformatician to work in the laboratory of Dr. Ariel Gomez to investigate the epigenetic and genetic determinants of cell fate. The candidate will also interact and advise other investigators within the center. The incumbent will collaborate with researchers in designing and implementing research projects, analysis of large data sets, and presentation and publishing of results. The candidate will be involved in the design of research projects and supervise students and post-doctoral fellows and developing innovative approaches for data analysis. Experience in analysis of genome wide analysis resulting from ATAC-seq, Chip-seq and single cell RNA-seq and whole genome sequencing is a must.
Qualified candidates must have a PhD or MD degree by start date with experience in Computational Biology, Biostatistics, Biomedical Sciences, or a related field, and publications in peer-reviewed journals. The candidate must have demonstrated expertise in the field of biology. Excellent written and verbal communication skills are required. Candidates with postdoctoral experience in bioinformatics applied to epigenetics will also be considered competitive.
To apply please attach your CV, cover letter and contact for three references.
The University of Virginia, including the UVA Health System and the University Physician’s Group are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.