The Channing Division of Network Medicine at Brigham and Women's Hospital is looking for exceptional postdoctoral fellowship candidates to advance research in respiratory disease, with a focus on chronic obstructive pulmonary disease (COPD), the third leading cause of death in the United States. Our group has led some of the largest and most comprehensive genetic and multi-omic studies in this disease, including identifying novel genetic associations and performing functional studies to identify new disease pathways. Fellows will work with an interdisciplinary team, consisting of genetic epidemiologists, biostatisticians, computational biologists, and translational scientists and clinicians. The fellow will work on two R01-funded projects to translate genetic variants to function and perform integrative omics analyses. Work will include analysis of high-through functional genomics assays, chromosome conformation capture, massively parallel reporter assays, RNA-Seq, and whole genome sequencing data, the latter as part of the Trans-Omics in Precision Medicine (TOPMed) Program. The candidate will work directly with Dr. Michael Cho, in collaboration with Dr. Edwin Silverman, Professor of Medicine and Harvard Medical School and Brigham and Women's Hospital, and Chief of the Division of Network Medicine.
Brigham and Women’s is consistently ranked one of the top 10 hospitals in the United States, and the second largest recipient of NIH funding among independent hospitals, with over 1000 principal investigators. The Division of Network Medicine is a research division within the Department of Medicine whose goal is to define the etiology and reclassify complex disease using network- and systems-based approaches. This group includes some of the largest population-based and pulmonary cohorts in the world, and an outstanding track record of mentoring.
Brigham and Women’s Hospital is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Qualified candidates should have a Ph.D. in bioinformatics, statistics, mathematics, physics, or a related quantitative field, with previous experience in analysis of large-scale omics data.
Strong programming skills in R / Bioconductor or Python.
Excellent communication (oral and written) and documentation skills, and ability to adhere to reproducible research standards.
Ability to work well in teams and interact with all levels of staff.
Driven to pursue challenging scientific questions, readily able to learn new skills and analytic techniques.
Qualified candidates should submit their CV, the names of two references, and a cover letter to Dr. Michael Cho (firstname.lastname@example.org).