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Genomic Data Analyst Jobs (NOW HIRING)

Baylor Genetics

Lead Bioinformatics AI Scientist

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 ...

Merck & Co.

$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 ...

Legend Biotech USA, Inc.

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 mechanisms.Apply advanced ...

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$82.6K

$136K

How much do genomic data analyst jobs pay per year?

As of Jul 24, 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.
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Genomic Data Analyst jobs near you
Infographic showing various Genomic Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Scientist 3, Single Cell & Functional Genomics

Scientist 3, Single Cell & Functional Genomics

Genentech, Inc.

South San Francisco, CA • On-site

$103K - $192K/yr

Full-time

Posted 8 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

8th of 74 rated pharmaceutical

Job description

The Department of Cell and Tissue Genomics is seeking a creative, rigorous, and motivated Scientist 3 to execute cutting-edge single-cell and functional genomic techniques to study cancer biology. The successful candidate will perform high-throughput screens, deploy new and existing single cell profiling methods, and analyze genomic data to enable the interrogation of molecular mechanisms underlying disease states and identify candidate targets for therapeutic interventions. Working in collaboration with colleagues in the departments of Research Oncology, Translational Medicine, and/or Computational Sciences, this is a hands-on position with both experimental and computational analysis components.
The Opportunity
  • Perform high-throughput screens in cancer cell lines and models
  • Develop and apply single cell technologies to profile primary tissue samples.
  • Analyze and interpret single cell perturbation data and broader genomic data.
  • Effectively collaborate with teams within the department and across the wider organization.
  • Communicate results clearly through high-impact scientific publications and presentations.
  • Contribute to identifying new research opportunities and innovative technology applications.

Who You Are
  • Education: Doctorate degree in a relevant field, including molecular biology, cancer biology, genetics, immunology, systems biology, developmental biology, biochemistry, and/or biomedical engineering.
  • Screening Experience: Hands-on experience performing and analyzing single cell CRISPR screens.
  • Data Analysis: Experience in the analysis of single cell and genomic data using R and/or Python.
  • NGS Assay Expertise: Strong foundational background in NGS assays and molecular biology techniques.
  • Professional Skills: Excellent oral and written presentation skills.
  • Leadership: Ability to manage multiple projects in parallel, collaborate effectively with multidisciplinary teams, and lead research projects.
  • Scientific Productivity: Sustained record of productivity in the form of publications and patents.

Preferred:
  • Epigenomics: Experience with epigenomic assays and data analysis.
  • Disease Expertise: Experience in cancer biology research.

Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California is $103,400 - $192,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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