The Gutierrez-Arcelus Lab at Boston Children’s Hospital and Harvard Medical School (gutierrezarceluslab.com) is seeking a postdoctoral research fellow to work on regulatory genomics and systems immunology of Systemic Lupus Erythematosus and other immune-mediated diseases. We are an interdisciplinary lab that utilizes genetics and multi-omics quantitative approaches to deepen our understanding of human gene regulation, how it varies between individuals, and how these regulatory differences contribute to immune-mediated disease. The postdoctoral fellow will be conducting research on B cell dysregulation in Systemic Lupus Erythematosus, and potentially other research areas. More information can be found in our webpage, and further details about projects will be provided to applicants during interview. The Gutierrez-Arcelus Lab cares about mentorship, collegiality, and diversity. It also values creativity, thoroughness, and dedication. The lab is part of the Division of Immunology at Boston Children’s Hospital, and Harvard Medical School. We have both dry and wet lab space, and we collaborate with immunology laboratories. The Boston area is a vibrant and dynamic scientific community that offers unique opportunities for scientific growth. Applicants should email a CV, a short summary of main research accomplishments and research interests, and contact information of 3 referees. Applications will be evaluated on a rolling basis.
Successful candidates must hold (or soon receive) a Ph.D., M.D. or M.D/Ph.D. degree in the field of genomics, immunology, or computational sciences; and should have a track record of research achievements and ability to work independently and collaboratively in a team. Other desired (but not required) skills for this position are a) computational, statistical, and bioinformatic analysis skills (e.g., single-cell and bulk RNA-seq, genetic variation, ATAC-seq); b) immunology background; c) human genetics background; d) experience handling and analyzing immune cells; e) experience with flow cytometry, cell sorting, 10x genomics, RNA-seq and/or other omic techniques.
Tagged as: Computer Science, Life Sciences
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