Data Analyst 1

Mass General Brigham•Boston, MA

1d•$53,040 - $75,889•Hybrid

About The Position

The Channing Division of Network Medicine at Brigham and Women’s Hospital is seeking a highly motivated Data Analyst for the research group led by Dr. Adel El Boueiz within the Systems Genetics and Genomics Unit. The analyst 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. Research applies 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. The 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 has substantial responsibility for designing, executing, interpreting, and documenting computational analyses, and developing and implementing bioinformatics approaches across ongoing research projects. 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 integrates epidemiologic, genomic, computational, and systems biology approaches to investigate complex human disease mechanisms.

Requirements

Master’s degree in bioinformatics, computational biology, genomics, computational genomics, biomedical informatics, biostatistics, data science, or a closely related quantitative field.
Experience computationally analyzing large-scale biological or biomedical datasets.
Proficiency in R and Python for biomedical data analysis.
Experience with Linux/Unix environments and large or high-dimensional datasets.
Experience with bioinformatics workflows, statistical analysis, data visualization, and reproducible computational methods.
Strong quantitative, analytical, and problem-solving skills.
Ability to write clear, efficient, well-documented, and reproducible code.
Strong attention to detail and commitment to data quality, scientific rigor, and research integrity.
Ability to troubleshoot analytical and computational problems independently and develop effective solutions.
Strong organizational and time-management skills, including the ability to manage multiple projects and priorities.
Excellent written and oral communication skills, including the ability to communicate findings to investigators from diverse scientific backgrounds.
Ability to work independently and collaboratively in a multidisciplinary research environment.
Initiative, adaptability, and intellectual curiosity in applying computational approaches to clinically relevant biomedical questions.

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 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 with investigators in their biological and clinical context.
Review scientific literature to identify and implement appropriate analytical and computational methods for research questions.
Generate publication-quality figures, tables, and visualizations for manuscripts, abstracts, presentations, and grant applications.
Document datasets, analytical methods, code, software environments, workflows, and results clearly and reproducibly.
Troubleshoot computational and analytical challenges and develop, optimize, and validate analytical pipelines.
Present analytical results at research meetings and contribute to scientific abstracts, conference presentations, manuscripts, and grant-related analyses.
Manage multiple projects and analytical priorities while meeting research milestones and deadlines.