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Single Cell Genomic Data Analyst Jobs (NOW HIRING)

Pfizer

Senior Scientist, Cellular Genomics

Cambridge, MA · On-site

$94 - $156/hr

... analyzing single-cell, spatial, transcriptomic, epigenomic, or other high-dimensional genomic datasets using reproducible computational workflows * Proficiency in R, Python, statistics, data ...

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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.

Scientist 3, Single Cell & Functional Genomics

South San Francisco, CA • On-site

F. Hoffmann-La Roche AG
See more jobs at F. Hoffmann-La Roche AGexternal

$125 - $150/hr

Other

Posted 7 days ago

Job description

Overview

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. This is a hands-on position with both experimental and computational analysis components in collaboration with colleagues across departments.

Responsibilities
  • 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.
  • 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.
Qualifications
  • 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 and cancer biology disease expertise.
Compensation and Benefits

Relocation benefits are available. Salary range for this position, based on the primary location of California, is $103,400 to $192,000. Actual pay is determined by experience, qualifications, geographic location, and other factors permitted by law. A discretionary annual bonus may be available based on individual and company performance.

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, in compliance with all applicable laws. If you require an accommodation in relation to the online application process, please contact Accommodations for Applicants.

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