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Site: The Brigham and Women's Hospital, Inc.
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
The Population Science and Network Medicine Division at The Brigham & Women's Hospital is looking for a talented programmer / analyst to join our Systems Genetics and Genomics group on a full-time basis (40 hours per week).
Qualifications
Programmer / Data analyst
The Population Science and Network Medicine Division at The Brigham & Women's Hospital is looking for a talented programmer / analyst to join our Systems Genetics and Genomics group on a full-time basis (40 hours per week).
Brigham and Women's Hospital is a major teaching affiliate of Harvard Medical School and part of Mass General Brigham, the largest recipient of NIH funding among independent hospitals. The Division of Population Science and Network Medicine is a research division within the Department of Medicine whose goal is to define the etiology of complex diseases and to reclassify them using network- and systems-based approaches.
Our group, led by Dr. Michael Cho, Associate Professor of Medicine, and Dr. Matthew Moll, Assistant Professor of Medicine, focuses on chronic respiratory disease, including chronic obstructive pulmonary disease and interstitial lung disease. Funding for this position is part of an active R01 NHLBI grant. We have access to some of the largest and most well described population-based and respiratory disease cohorts in the world, as part of COPDGene, Trans-Omics for Precision Medicine (TOPMed), and the International COPD Genetics Consortium, and investigators in the UK and Mass General Brigham Biobanks, All of Us, and Million Veteran Program. In these cohorts, data to be analyzed includes whole-genome genetic, RNA-Seq, epigenome, proteomic, and metabolomic data from blood and lung tissue, in bulk and in single cells. Methods include genetic association, differential expression, and integrative omics analysis, including application of machine learning, development of deep learning models, network, and systems pharmacology methods.
The work will be performed as part of an interdisciplinary team, consisting of geneticists and genetic epidemiologists, biostatisticians, computational biologists, and translational scientists and clinicians. Successful candidates will work closely with students, programmers, postdoctoral fellows, and faculty.
Principal duties and responsibilities: Develop and use new and existing computational pipelines for analysis of research data. Efficiently leverage local compute, public and private cloud. Oversee data processing, dissemination, and access to high-throughput sequencing data. Provide statistical and analytic support.
Qualifications:
Bachelor's degree with one year of relevant work experience. Master's degree preferred.
Proficiency in R / Bioconductor and/or Python (both preferred)
Experience in the linux environment and command line
Excellent communication (oral and written) and documentation skills, and ability to adhere to reproducible research standards and version control
Preference will be given to candidates with a strong background and experience in genomic data analysis.
Qualified candidates should submit their resume, sample code (GitHub repository preferred), the names of two references, and a cover letter to Dr. Matthew Moll (matthew.moll@channing.harvard.edu). Promising candidates will be invited for interviews, a presentation, and live coding session. Funding for this position is available immediately, but start time is flexible.
Additional Job Details (if applicable)
Remote Type
Hybrid
Work Location
41-45 Avenue Louis Pasteur
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
Pay Range
$53,040.00 - $75,888.80/Annual
Grade
5
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.
EEO Statement:
2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. 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. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.