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Genomic Data Analyst Jobs (NOW HIRING)

Data Analyst/Programmer

Boston, MA · On-site

$53K - $75K/yr

... 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 ...

Data Analyst/Programmer

Boston, MA · Hybrid

$53K - $75K/yr

... 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 ...

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models ...

$194K - $305K/yr

Proven experience with analysis of genomic data originating from clinical trials.Exposure and ... experience with companion diagnostic development, preferably for NGS.Understanding of the major ...

... data science, statistics, and algorithm design, developing nextgeneration tools for clinical-grade genomic analysis. This high-impact individual contributor (IC) role offers broad technical ...

Penn State University is a leading academic institution seeking a Researcher to join their ambitious research group focused on genomic data analysis. The role involves designing and implementing web ...

Key Responsibilities Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease ...

Data Scientist

Washington, DC · On-site +1

$121K - $158K/yr

Conduct and oversee research and analysis of bioinformatics projects in the analyses of genomic ... Use mastery of data science, data management and data analytics and/or visualization technologies ...

Showing results 21-40

Genomic Data Analyst information

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$34K

$82.6K

$136K

How much do genomic data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for genomic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a genomic data analyst?

To thrive as a Genomic Data Analyst, you need strong skills in bioinformatics, statistical analysis, and a background in genetics or a related field, usually supported by a degree in biology, data science, or computational science. Familiarity with tools like R, Python, UNIX/Linux systems, and genomic databases, as well as experience with next-generation sequencing (NGS) data analysis pipelines, are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data accurately and explain findings to interdisciplinary teams. These skills are crucial for translating complex genomic datasets into actionable insights that inform research and clinical decisions.

What are the typical daily responsibilities of a genomic data analyst?

As a Genomic Data Analyst, your typical day involves processing and analyzing large-scale genomic datasets using specialized software and scripting languages to identify genetic variations or patterns. You might collaborate with laboratory scientists, clinicians, and other data professionals to design studies, interpret results, and ensure data accuracy. Tasks often include creating data visualizations, generating detailed reports, and troubleshooting technical issues in bioinformatics pipelines. This role requires a balance of independent data analysis work and teamwork to drive research or clinical projects forward.

How much do genomic data analysts make?

Genomic data analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in bioinformatics and programming can earn over $100,000 annually.

What is a genomic data analyst?

A Genomic Data Analyst interprets and analyzes large-scale genomic data to derive meaningful biological insights. They work with datasets from DNA sequencing, gene expression studies, and other genomic technologies to identify patterns, mutations, or associations related to health and disease. Using bioinformatics tools, programming languages like Python or R, and statistical techniques, they help researchers, healthcare professionals, and biopharmaceutical companies make data-driven decisions. Their role is essential in fields such as precision medicine, drug discovery, and genetic research.

More about Genomic Data Analyst jobs
What cities are hiring for Genomic Data Analyst jobs? Cities with the most Genomic Data Analyst job openings:
What are the most commonly searched types of Genomic Data Analyst jobs? The most popular types of Genomic Data Analyst jobs are:
Who are the top companies hiring for Genomic Data Analyst jobs? The top employers for Genomic Data Analyst jobs are:
What states have the most Genomic Data Analyst jobs? States with the most job openings for Genomic Data Analyst jobs include:
Infographic showing various Genomic Data Analyst job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 11% Part Time, 6% Temporary, and 11% Contract. Highlights an 77% In-person, 17% Hybrid, and 6% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst/Programmer

Mass General Brigham

Boston, MA • On-site

$53K - $75K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Brigham and Women's Hospital rating

8.1

Company rating: 8.1 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

117th of 1,059 rated hospitals


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 their resume, sample code (GitHub repository preferred), the names of two references, and a cover letter to 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.

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