Data Analyst/Programmer

Mass General Brigham
Location
Boston-MA
Job Type
Full-time
Posted
August 6, 2026
Views
4
Salary Range
$53k - $76k USD

Job Description

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 theirresume, sample code (GitHub repository preferred), the names of two references, and a cover letterto 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.


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 theirresume, sample code (GitHub repository preferred), the names of two references, and a cover letterto 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.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in Boston, MA (41-45 Avenue Louis Pasteur) and operates under a hybrid work-mode policy.
What are the required qualifications and experience level for this role?
You need a Bachelor’s degree with one year of relevant work experience (Master’s preferred). Required skills include proficiency in R/Bioconductor and/or Python, experience in a Linux environment and command line, and strong communication skills. Preference is given to candidates with genomic data analysis experience.
What are the key responsibilities of the Data Analyst/Programmer?
You will develop and use computational pipelines for research data analysis, leveraging local compute and public/private clouds. You will also oversee data processing, dissemination, and access to high-throughput sequencing data, and provide statistical and analytic support.
What is the salary range for this position?
The estimated annual base pay range for this position is $53,040.00 to $75,888.80.
What is the application process, and what do I need to submit?
You should submit your resume, sample code (preferably a GitHub repository), the names of two references, and a cover letter to Dr. Matthew Moll at matthew.moll@channing.harvard.edu. Promising candidates will be invited for interviews, a presentation, and a live coding session.
Who will I report to and work with?
You will join the Systems Genetics and Genomics group led by Dr. Michael Cho and Dr. Matthew Moll. You will work within an interdisciplinary team of geneticists, biostatisticians, computational biologists, clinicians, students, and postdoctoral fellows.

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Job Information

Source: workday
AI Relevance: 65/100 (Relevant)
Remote Type: onsite
Allowed Locations: Boston-MA
Skills & Tags:
mass general brigham pharma

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