Data Analyst

Oct 15, 2026

$53,040 - $75,888/year

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 Channing Division of Network Medicine at Brigham and Women’s Hospital is seeking a highly motivated Data Analyst to join the research group led by Dr. Adel El Boueiz within the Systems Genetics and Genomics Unit. The successful candidate will contribute to computational studies of chronic respiratory diseases, particularly chronic obstructive pulmonary disease (COPD) and related pulmonary phenotypes, by integrating genetic, genomic, transcriptomic, proteomic, imaging, and clinical data from large, deeply phenotyped cohorts.

Projects will apply statistical genetics, bioinformatics, multi-omics integration, systems biology, and machine learning to identify biomarkers and molecular subtypes, elucidate disease mechanisms, and prioritize potential therapeutic targets.

Qualifications

Research Environment

Brigham and Women’s Hospital is a major teaching hospital of Harvard Medical School and an international leader in biomedical research and clinical care.

The Channing Division of Network Medicine is a research division within the Department of Medicine that integrates epidemiologic, genomic, computational, and systems biology approaches to investigate the mechanisms of complex human diseases.

The Division brings together multidisciplinary expertise in epidemiology, biostatistics, bioinformatics, genetics, epigenetics, transcriptomics, proteomics, metabolomics, metagenomics, imaging, and network medicine.

The Data Analyst will work closely with Dr. El Boueiz and a multidisciplinary team of geneticists, genetic epidemiologists, biostatisticians, computational biologists, translational scientists, and clinicians. The role will involve substantial responsibility for the design, execution, interpretation, and documentation of computational analyses and the development and implementation of bioinformatics approaches across ongoing research projects.

Responsibilities

Manage, process, and analyze large-scale genetic, genomic, transcriptomic, proteomic, imaging, and clinical datasets.

Develop, implement, and maintain reproducible bioinformatics and computational workflows using R, Python, Linux/Unix, and related tools.

Perform data preprocessing, quality control, harmonization, integration, statistical analysis, and visualization across multiple data types and research cohorts.

Apply bioinformatics, statistical genetics, multi-omics, systems biology, and machine-learning methods to investigate COPD and related pulmonary phenotypes.

Integrate multimodal data to identify biomarkers and molecular subtypes and investigate disease mechanisms and potential therapeutic targets.

Evaluate and interpret analytical findings in collaboration with investigators within their biological and clinical context.

Review relevant scientific literature to identify and implement appropriate analytical and computational methods for specific research questions.

Generate publication-quality figures, tables, and visualizations for manuscripts, abstracts, presentations, and grant applications.

Maintain clear and reproducible documentation of datasets, analytical methods, code, software environments, workflows, and results.

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