The Channing Division of Network Medicine at Brigham and Women's Hospital is looking for exceptional postdoctoral fellowship candidates to join the Systems Genetics and Genomics group to advance research in chronic respiratory diseases, with a focus on the identification of protein biomarkers for chronic obstructive pulmonary disease (COPD).
Our group has led some of the largest and most comprehensive genetic and multi-omic studies in obstructive lung diseases, including identifying novel genetic associations and performing functional studies to identify new disease pathways. Fellows will work with an interdisciplinary team, consisting of geneticists and genetic epidemiologists, biostatisticians, computational biologists, translational scientists, and clinicians. The fellow will work on one of several NIH-funded projects including large-scale proteomics and integration of proteomics with genetics, transcriptomics, and epigenetics. The candidate will work directly with Dr. Edwin Silverman, Chief of the Division of Network Medicine.
Qualified candidates should have a Ph.D. in bioinformatics, genetic epidemiology, statistics, mathematics, physics, or a related quantitative field and strong programming skills in R / Bioconductor, Python, or MATLAB. Previous experience in analysis of proteomic, genetic, or other Omics data is mandatory. Candidates should have 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; the drive to pursue challenging scientific questions; and ability to learn new skills and analytic techniques readily.
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, and an outstanding track record of mentoring.
BWH is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Brigham & Women's Hospital(BWH) strives to keep its workplace safe and secure for the protection of patients, visitors, and staff. Therefore, our offer of employment is contingent upon completion of the following items.
• Satisfactory reference checks
• Satisfactory criminal background checks
• Authorization to work in the United States
• Medical clearance from our Occupational Health department
• Annual compliance with Mass General Brigham’s Influenza Vaccination Policy
• Compliance with Mass General Brigham’s COVID 19 Vaccination Policy
• Successful review of the Medicare program's Sanctions and Exclusions List
• Verification of education, current licensures and registrations, and credentialing (if applicable)
If you begin work before the results of these checks are determined, it is with full understanding that an unsatisfactory report may lead to termination.
Reference information, including academic and/or employment records, final evaluations and recommendations for future employment will be required.
Qualified candidates should submit their CV, the names of two references, and a cover letter to Dr. Edwin Silverman (ed.silverman@channing.harvard.edu).
Qualified candidates should have a Ph.D. in bioinformatics, genetic epidemiology, statistics, mathematics, physics, or a related quantitative field and strong programming skills in R / Bioconductor, Python, or MATLAB. Previous experience in analysis of proteomic, genetic, or other Omics data is mandatory. Candidates should have 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; the drive to pursue challenging scientific questions; and ability to learn new skills and analytic techniques readily.
Qualified candidates should submit their CV, the names of two references, and a cover letter to Dr. Edwin Silverman (ed.silverman@channing.harvard.edu).