The Bayer and Partners HealthCare are looking for an exceptional Bioinformatics specialist/Data Scientist to join the Pulmonary Drug Discovery Laboratory to advance research in respiratory disease and the identification of new therapeutic targets.
Our group at the Channing Division of Network Medicine at Brigham and Women's Hospital has led some of the largest and most comprehensive genetic and multi-omic studies in lung diseases, including identifying novel genetic associations and performing functional studies to identify new disease pathways. The Bioinformatician/Data Scientist will work with an interdisciplinary team, consisting of genetic epidemiologists, biostatisticians, computational biologists, translational and basic scientists, and clinicians. The Data Scientist will work as part of a Pulmonary Drug Discovery team including analysis of large-scale whole genome sequencing data, RNA sequencing data and DNA methylation.
Brigham and Women's Hospital is a Harvard Medical School affiliated institution, with over 1000 principal investigators. The Channing 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. The Pulmonary Drug Discovery Laboratory is a collaborative research program of Bayer and Partners HealthCare to develop new treatments for chronic lung diseases, including chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis.
Qualified candidates should have a Ph.D. in bioinformatics, statistics, mathematics, genetics or a related quantitative field and strong programming skills in R / Bioconductor, Python, or MATLAB; previous experience in analysis of epigenetic, genetic and other -omics data is mandatory with candidates with experience in the analysis of sequencing data given priority; excellent communication (oral and written) and documentation skills; ability to adhere to reproducible research standards; ability to work well in teams and interact with all levels of staff; and the ability to produce highly annotated pipelines for data mining.
We are 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 submit their CV, the names of two references, and a cover letter to Edwin K. Silverman, M.D., Ph.D. at firstname.lastname@example.org.
Brigham And Women's Hospital