Data AnalystProgrammer
Boston, MA - USA
Job Summary
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 & Womens 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 & Womens 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 Womens 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 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:
Bachelors degree with one year of relevant work experience. Masters 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 (). 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
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$53040.00 - $75888.80/AnnualGrade
5EEO Statement:
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.
Required Experience:
IC
About Company
Patients at Mass General have access to a vast network of physicians, nearly all of whom are Harvard Medical School faculty and many of whom are leaders within their fields.