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How much do single cell genomics scientist jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for single cell genomics scientist in the United States is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $40.38 per hour, depending on experience, location, and employer.

What does a single cell genomics scientist do?

A Single Cell Genomics Scientist specializes in analyzing genetic material at the level of individual cells. This role involves designing and conducting experiments using techniques such as single-cell RNA sequencing, data analysis, and interpreting results to understand cellular diversity and function. Scientists in this field contribute to advances in biology and medicine, such as understanding disease mechanisms, immune responses, and developmental processes. They often collaborate with biologists, clinicians, and computational scientists to translate discoveries into practical applications.

What are the key skills and qualifications needed to thrive as a single cell genomics scientist?

To excel as a Single Cell Genomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a Ph.D. or equivalent research experience. Expertise with single-cell sequencing platforms (e.g., 10x Genomics), data analysis software (such as Seurat or Scanpy), and familiarity with programming languages like R or Python are crucial. Strong problem-solving abilities, attention to detail, and effective cross-disciplinary communication distinguish top performers in this field. These skills are essential for accurately interpreting complex datasets and collaborating on cutting-edge biological research.

What are some common challenges faced by single cell genomics scientists when analyzing large-scale single-cell data?

Single Cell Genomics Scientists often encounter challenges related to managing and interpreting vast, complex datasets generated from single-cell sequencing experiments. These datasets are high-dimensional and can be noisy, requiring robust computational approaches and careful quality control. Collaborating with bioinformaticians and statisticians is crucial to address issues like batch effects, data normalization, and integration across experiments. Staying updated with evolving analytical tools and methodologies is also essential for accurate data interpretation and biological insight.

What is the difference between Single Cell Genomics Scientist vs Molecular Biologist?

AspectSingle Cell Genomics ScientistMolecular Biologist
Required CredentialsMaster's or PhD in Genetics, Genomics, or related fieldMaster's or PhD in Biology, Biochemistry, or related field
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on genomicsLaboratories, research institutions, biotech firms working on molecular mechanisms
Industry UsagePrimarily in genomics, personalized medicine, and biotech sectors

The Single Cell Genomics Scientist specializes in analyzing individual cells' genetic material, often using advanced sequencing technologies. In contrast, the Molecular Biologist studies broader molecular processes within cells. Both roles require similar educational backgrounds and often work in research labs, but their focus areas and applications differ, with the Single Cell Genomics Scientist concentrating on single-cell analysis and the Molecular Biologist on general molecular mechanisms.

What are popular job titles related to Single Cell Genomics Scientist jobs?

For Single Cell Genomics Scientist jobs, the most frequently searched job titles are:

Infographic showing various Single Cell Genomics Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 77% Full Time, 15% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $73,866 per year, or $35.5 per hour.

Computational Scientist II - Single Cell Genomics

South San Francisco, CA • On-site

Dawar Consulting
IT Services • 11 - 50 employees
Learn more about Dawar Consultingexternal

$65/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 5 days ago

Job description

Computational Scientist II - Single Cell Genomics

South San Francisco, United States | Posted on 07/08/2026

Our Client, a world leader in Biotechnology is looking for a Computational Scientist II for SSF, CA

Job Duration: Long Term Contract (Possibility Of Extension)

Pay Rate: $65/hr on W2

Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

This role is focused on advancing therapeutic discovery through high-content perturbation screening and single-cell genomics. This role will involve analyzing large-scale sequencing datasets, developing computational pipelines, and collaborating with multidisciplinary teams to generate biological insights that support drug discovery.

Key Responsibilities
  • Analyze and interpret large-scale single-cell sequencing datasets (scRNA-seq) generated from high-content perturbation experiments.
  • Develop and optimize computational workflows for Perturb-seq, CROP-seq, Sci-Plex, and other sequencing-based functional genomics studies.
  • Apply statistical and computational methods to identify biological mechanisms, therapeutic targets, and treatment responses.
  • Collaborate with biologists, chemists, computational scientists, and cross-functional research teams to translate complex data into actionable insights.
  • Develop reproducible data analysis pipelines using Python and bioinformatics tools.
  • Perform quality control, data integration, visualization, and statistical analysis of large-scale genomics datasets.
  • Integrate multimodal datasets, including single-cell, genomic, and clinical data, to support research and therapeutic development.
  • Present findings through scientific reports, presentations, and collaborations with internal research teams.
  • Maintain well-documented, reproducible computational workflows and contribute to continuous process improvements.
Required Qualifications
  • Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics, or a related quantitative life science discipline.
  • Proven experience analyzing large-scale single-cell RNA sequencing (scRNA-seq) datasets.
  • Strong programming skills in Python for scientific computing and data analysis.
  • Solid background in statistics, probabilistic modeling, and computational data analysis.
  • Experience working with next-generation sequencing (NGS) and genomics datasets.
  • Excellent analytical, communication, and problem-solving skills.
  • Demonstrated ability to collaborate effectively in multidisciplinary research environments.
  • Strong publication record demonstrating scientific contributions.
Preferred Qualifications
  • Experience with Perturb-seq, CROP-seq, Sci-Plex, or other CRISPR-based perturbation screening technologies.
  • Experience with CRISPR functional genomics and single-cell perturbation analysis.
  • Knowledge of multimodal data integration, including genomic, transcriptomic, and clinical datasets.
  • Experience using workflow management systems such as Nextflow or Snakemake.
  • Experience working on High Performance Computing (HPC) environments using SLURM.
  • Familiarity with cloud computing, reproducible workflows, and collaborative software development practices.

If interested, please send us your updated resume at

Single Cell Sequencing, Pertub-Seq, Slurm, HPC, Computational Biology

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