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Single Cell Genomic Data Analyst Jobs (NOW HIRING)

HonorVet Technologies

Genomics Technician

Chicago, IL · On-site

Operate Fragment Analyzer, Bioanalyzer, Qubit, qPCR, Illumina NovaSeq, and Element AVITI. * Manage ... single-cell genomics, Sanger sequencing, and microarrays. * Experience with genomic data and ...

Tuskegee University

Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis. Physical Demands FLSA Exempt Status Full-Time Skills and Attributes * Familiarity with database ...

Zymtronix Catalytic Systems Inc

NY · On-site

$60 - $80/hr

Provide expert advice about genomic profiling technologies to researchers, including faculty, post ... Process sequencing data through standard analytical pipelines, review technology quality metrics ...

MIT Human Resources

Data Analyst 2, SRS

Cambridge, MA · On-site

DATA ANALYST, SRS, COMPUTATIONAL BIOLOGIST, Computer Science and Artificial Intelligence Laboratory ... large-scale genomic and single-cell datasets to understand disease circuitry, predict new ...

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How much do single cell genomic data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for single cell 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 is a single cell genomic data analyst?

A Single Cell Genomic Data Analyst is a specialist who processes, analyzes, and interprets data generated from single-cell sequencing experiments. They use computational tools and statistical methods to uncover insights about cellular heterogeneity, gene expression, and genetic variation at the single-cell level. Their work supports research in fields such as cancer, immunology, and developmental biology by helping scientists understand how individual cells differ within complex tissues. Typical tasks include preprocessing raw sequencing data, quality control, clustering, and visualization of single-cell datasets.

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

To thrive as a Single Cell Genomic Data Analyst, you need a strong background in bioinformatics, statistics, and molecular biology, typically with a relevant advanced degree. Proficiency in programming languages like R or Python, experience with single-cell RNA-seq analysis pipelines (e.g., Seurat, Scanpy), and familiarity with high-performance computing environments are essential. Attention to detail, strong problem-solving abilities, and effective communication skills help interpret complex datasets and collaborate with interdisciplinary research teams. These skills are crucial for accurately analyzing single-cell data, deriving meaningful biological insights, and supporting scientific discovery.

What are some common challenges faced by a single cell genomic data analyst when working with large-scale datasets?

One of the main challenges for Single Cell Genomic Data Analysts is managing and processing the vast amount of data generated from single-cell sequencing experiments. This often requires advanced computational skills to handle data storage, quality control, and integration of multiple data types. Additionally, analysts must stay updated on the latest analysis tools and best practices, as the field is rapidly evolving. Collaborating closely with biologists and other team members is essential to accurately interpret results and tailor analyses to specific research questions.

What is the difference between Single Cell Genomic Data Analyst vs Bioinformatics Data Analyst?

AspectSingle Cell Genomic Data AnalystBioinformatics Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Genetics, or related field; experience with single-cell sequencingBachelor's or Master's in Bioinformatics, Computer Science, or related field; general bioinformatics skills
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on genomicsHealthcare, research, biotech firms working with large biological datasets
Industry UsagePrimarily in genomics, personalized medicine, and research institutionsBroader industry including healthcare, pharmaceuticals, and academia

The Single Cell Genomic Data Analyst specializes in analyzing data from single-cell sequencing experiments, requiring specific skills in single-cell technologies. In contrast, the Bioinformatics Data Analyst has a broader focus on various biological data types. Both roles share foundational bioinformatics skills but differ in their specific applications and industry focus.

What are popular job titles related to Single Cell Genomic Data Analyst jobs?

For Single Cell Genomic Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Single Cell Genomic Data Analyst job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Research Scientist II, Single Cell Genomics Service Center

Galveston, TX • On-site

UTMB Health
See more jobs at UTMB Healthexternal

Full-time

Posted 29 days ago

UTMB Health rating

7.2

Company rating: 7.2 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

344th of 898 rated healthcare providers

Job description

Minimum Qualifications:
  • Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.

Job Description:
Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise.
Job Duties:
  • Design and implement bioinformatics pipelines for analyzing large-scale genomics and transcriptomics data, including single cell and spatial transcriptomics.
  • Collaborate with wet-lab researchers to design experiments and interpret results.
  • Develop and maintain bioinformatics tools and software and documentation.
  • Integrate, visualize, and analyze genomic data from various sources.
  • Process sequencing data generated by sequencing instruments and deliver data to researchers.
  • Write and publish scientific papers and reports summarizing research findings.
  • Other duties as assigned.

Knowledge /Skills/ Abilities:
  • Experience in transcriptomics, epigenomics, or metagenomics.
  • Experience in spatial transcriptomics data analysis such as Xenium platform or other spatial transcriptomics
  • Familiarity with cloud computing and high-performance computing environments
  • Expertise in bioinformatics algorithms, tools, and technologies
  • Strong programming skills in languages such as Python, R, and Perl
  • Experience analyzing large-scale genomic data
  • Excellent Communication and interpersonal Skills
  • Ability to work independently and as part of a team

Salary Range:
Commensurate with experience
WORKING ENVIRONMENT/LOCATION OF POSITION:
Standard laboratory environment.
Equal Employment Opportunity
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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