1

Genomic Data Analyst Jobs (NOW HIRING)

Analyzes and interprets genomic data to identify genetic variants that may contribute to disease ... Strong analytical skills and ability to critically read and interpret data from scientific ...

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. ...

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Experience managing and integrating large biomedical or genomic datasets * Strong background in statistical analysis, data modeling, and computational methods * U.S. citizenship required; ability to ...

... genomic testing solutions. Learn more at www.coopersurgical.com. This role is not eligible for ... We are looking for a Data Implementation Analyst to join CooperSurgical and help build Embryo ...

$17.10 - $29.09/hr

This role focuses on working with large genomic datasets to analyze data from whole genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data.

... genomic testing solutions. Learn more at www.coopersurgical.com. This role is not eligible for ... We are looking for a Data Implementation Analyst to join CooperSurgical and help build Embryo ...

next page

Showing results 1-20

Genomic Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do genomic data analyst jobs pay per year?

As of Jul 4, 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 in the Genomic Data Analyst position, and why are they important?

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.

Is 40 too late for data science?

For a genomic data analyst, age is not a barrier to entering data science, as skills in programming, statistics, and domain knowledge are more important. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new tools like Python, R, and machine learning techniques are key regardless of age.

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.

What does a genomic analyst do?

A genomic analyst studies genetic data to identify variations and patterns that can inform research or clinical decisions. They analyze DNA sequences using bioinformatics tools, interpret results, and often work with large datasets in laboratory or computational environments. Strong skills in genetics, programming, and data analysis are essential for this role.

What is a Genomic Data Analyst job?

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.

How to become a genomic data analyst?

To become a genomic data analyst, typically a bachelor's degree in biology, genetics, bioinformatics, or a related field is required, often supplemented by a master's degree or higher for advanced roles. Skills in programming languages such as Python or R, experience with genomic databases, and familiarity with bioinformatics tools are essential. Gaining practical experience through internships or research projects can also improve job prospects.

What is the salary of genomic data analyst?

The average salary for a genomic data analyst in the United States ranges from $70,000 to $100,000 per year, depending on experience, education, and location. Entry-level positions typically start around $60,000, while experienced analysts with advanced skills in bioinformatics and data analysis tools can earn over $110,000 annually.
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:
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 June 2026, with employment types broken down into 79% Full Time, 5% Part Time, 5% Temporary, and 11% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst 2, SRS

Other

Posted 12 days ago


Job description

DATA ANALYST, SRS, COMPUTATIONAL BIOLOGIST, Computer Science and Artificial Intelligence Laboratory (CSAIL)-Computational Biology Group, to work at the interface of computational and experimental work to develop new computational methods, integrate large-scale genomic and single-cell datasets to understand disease circuitry, predict new therapeutic target genes and control elements, guide experimental dissection, refine biological hypotheses, and interpret biological results through computational analyses. 
The full job description is available, here: https://www.dropbox.com/scl/fi/fn79e661b06q95plzezjm/Data-Analyst-2-SRS-JD-Kellis.pdf?rlkey=sglwsfv8jc87icn6c9mkvf8dy&st=1n3lpn38&dl=0


MIT Human Resources logo

About MIT Human Resources

Sourced by ZipRecruiter

Our mission is to advance a vibrant and diverse work community where individuals and groups thrive and contribute to MIT's excellence. We offer Support, Services, and Programs to enhance your work life. We're here to help. MIT is committed to helping employees achieve a healthy balance between their careers and the full lives they lead off-campus. Explore all of MIT's Work & Life resources, including MyLife Services, which provides 24/7 access to a network of experts available to help with life’s challenges.

Industry

Human resource programs administration

Company size

1 - 10 Employees

Headquarters location

Cambridge, MA, US

Year founded

2014