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Data Analyst 1


Job Location:

Boston, MA - USA

Yearly Salary: USD 53040 - 75888
Posted: 17 October 2026 (11 hours ago)
Application Deadline: 14 January 2027
Vacancies: 1 Vacancy

Job Summary

Site: The Brigham and Womens 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 Womens 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 Womens 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.

Troubleshoot computational and analytical challenges and develop optimize and validate analytical pipelines.

Present analytical results at research meetings and contribute substantively to scientific abstracts conference presentations manuscripts and grant-related analyses.

Manage multiple projects and analytical priorities while meeting research milestones and deadlines.


Qualifications

Candidates should have a masters degree in bioinformatics computational biology genomics computational genomics biomedical informatics biostatistics data science or a closely related quantitative field with experience in the computational analysis of large-scale biological or biomedical datasets.


Candidates should have:

Proficiency in R and Python for biomedical data analysis.

Experience working in Linux/Unix environments and with 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 with the ability to manage multiple projects and priorities.

Excellent written and oral communication skills including the ability to communicate analytical findings to investigators from diverse scientific backgrounds.

Ability to work both independently and collaboratively within a multidisciplinary research environment. Initiative adaptability and intellectual curiosity in applying computational approaches to clinically

relevant biomedical questions.


Prior experience in COPD or pulmonary research is not required.



Additional Job Details (if applicable)


Remote Type

Hybrid


Work Location

221 Longwood Avenue


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)



Pay Range

$53040.00 - $75888.80/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 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 Womens 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 Veterans 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 .


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.


Required Experience:

IC


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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.

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