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Single Cell Rna Sequencing Analysis Jobs (NOW HIRING)

Biomedical Technician - Genomics Core

Modesto, CA · On-site

$26.75 - $35.25/hr

This includes familiarity with techniques such as single-cell RNA sequencing (scRNA-seq), spatial ... We also provide downstream analysis packages to help analyze these data in the context of the ...

SRA 1

San Francisco, CA · On-site

$41.50 - $52/hr

Experience in R Studio and/or Python to analyze single-cell RNA sequencing, bulk RNA sequencing, and whole-exome sequencing data * Experience in molecular biology techniques such as sgRNA cloning and ...

CLIA Lab Director

San Francisco, CA · On-site

$200K - $300K/yr

... analytical approaches into clinical care for the very first time. We've just raised a $13.5M seed ... single-cell and spatial RNA sequencing * Manage technical transfer of assays from R&D into clinical ...

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How much do single cell rna sequencing analysis jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for single cell rna sequencing analysis 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 are the key skills and qualifications needed to thrive as a Single Cell RNA Sequencing Analyst, and why are they important?

To thrive as a Single Cell RNA Sequencing Analyst, you need a strong background in molecular biology, bioinformatics, and data analysis, usually supported by an advanced degree in a relevant field. Familiarity with analytical tools such as Seurat, Scanpy, R, and Python, as well as experience with sequencing platforms and pipelines, is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for interpreting complex datasets and collaborating with scientific teams. These competencies are crucial for generating high-quality insights from single-cell data, driving research discoveries, and supporting experimental success.

What is single cell RNA sequencing analysis?

Single cell RNA sequencing analysis is a technique used to study gene expression at the level of individual cells. Unlike bulk RNA sequencing, which provides average gene expression across many cells, single cell analysis allows researchers to observe the diversity and heterogeneity among individual cells within a tissue or sample. This method is particularly useful for identifying rare cell types, understanding developmental processes, and uncovering the molecular mechanisms underlying diseases. The analysis involves isolating single cells, sequencing their RNA, and then using computational tools to interpret the data.

What are some common challenges faced when analyzing single-cell RNA sequencing data, and how can they be addressed?

One of the main challenges in single-cell RNA sequencing (scRNA-seq) analysis is dealing with the high dimensionality and sparsity of the data, as many genes may not be detected in every cell. Additionally, batch effects and technical variability can complicate data integration from multiple experiments or platforms. To address these issues, analysts often use specialized normalization techniques, batch correction algorithms, and dimensionality reduction methods such as PCA or t-SNE. Collaborating closely with wet-lab scientists and bioinformaticians helps ensure that both biological and technical factors are appropriately considered throughout the analysis process.
Biomedical Technician - Genomics Core

Biomedical Technician - Genomics Core

Cedars Sinai

West Hollywood, CA • On-site

$28.50 - $37.75/hr

Other

Re-posted 14 days ago


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

34th of 1,004 rated hospitals


Job description

The Applied Genomics, Computation & Translational Core is looking for a Biomedical Technician to join the team! 

Candidates with experience in single-cell and spatial assay technologies are highly desirable. This includes familiarity with techniques such as single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, multiplex imaging, and other high-dimensional molecular profiling platforms. A working knowledge of sample preparation workflows, library preparation, quality control metrics, and data generation associated with next-generation sequencing or imaging-based assays is strongly valued. Experience handling complex biological specimens and maintaining rigorous data integrity within high-throughput experimental environments is also preferred.

The Cedars-Sinai Applied Genomics, Computation & Translational (AGCT) Core is an automated, high-throughput genomics facility equipped with the latest next-generation sequencing technologies. We specialize in single-cell and spatial omics, utilizing platforms including 10x Genomics (Chromium X, Xenium Analyzer, Visium CytAssist), Parse Biosciences, Scale Biosciences, Illumina, Singular Genomics G4X , and Bruker CosMX SMI. We also offer expertise in long-read sequencing via Oxford Nanopore Technologies (PromethION 24, MinION) and high-throughput short-read sequencing on the Illumina NovaSeq X Plus. We provide comprehensive support covering sample preparation, library construction, and diverse sequencing applications including bulk cell RNA-Seq, WGS/WES, ATAC-Seq, and metagenomics. 

The AGCT Core also delivers extensive bioinformatics analysis. Standard pipelines are established for primary data processing across all services, encompassing read alignment, quality control, expression quantification, variant calling, and peak calling. We also provide downstream analysis packages to help analyze these data in the context of the researcher's experimental design. We actively collaborate with investigators to develop sophisticated or custom computational solutions for specific research questions, including advanced analysis for spatial transcriptomics data. Our bioinformatics support extends to results interpretation, generation of publication-ready figures, and drafting manuscript methodology.

To learn more please visit Applied Genomics, Computation & Translational Core | Cedars-Sinai. 

Are you ready to be a part of breakthrough research? 

The AGCT Core Biomedical Technician contributes to the laboratory sciences team of the lab. They work independently as part of a team under direct supervision of a team lead.  The Biomedical Technician is responsible for performing laboratory benchwork strictly according to Standard Operating Procedures with accurate documentation and a theoretical understanding of assays utilized.  They perform quality control on RNA and DNA samples, understanding the nuances of sample quality and qualifications.  The Biomedical Technician contributes to the success of projects by providing good oral and written communication, documentation, and attentiveness to detail. They work with state-of-the-art technologies and instruments, performing next generation sequencing library preparation and sequencing.

Primary Duties and Responsibilities:

  • Performs a variety of project-specific process development tasks for multiple clients following standard operating procedures (SOPs).
  • Maintains good documentation in laboratory notebooks, data record/transfer, SOPs, and batch records.
  • Drafts standard operating procedures and maintains computer database.
  • Verifies samples received, logs samples into systems, and may transport to appropriate environment within the facility for storage following SOPs.
  • Performs lab maintenance duties, including glassware cleaning and sterilization.
  • Maintains lab equipment and related records.
  • Prepares cGMP production room, maintains material inventories, and places orders for equipment and supplies.
  • Assists in the operation of specialized equipment and machinery.
  • Ensures all activities comply with regulatory guidelines and safety standards, as appropriate.

Department Specific Responsibilities:

  • Construction of next generation sequencing libraries for bulk cell, single cell, and/or spatial omics using commercially available reagent kits.
  • Illumina short-read sequencing and/or Oxford Nanopore Technologies long-read sequencing of NGS libraries.
  • DNA/RNA QC via fluorescent quantification and automated electrophoresis.
  • Operation of state-of-the-art genomics equipment including NGS sequencers, automated liquid handlers, and tissue imagers, as well as standard laboratory equipment such as thermal cyclers, centrifuges, and qPCR machines.
  • Mathematical calculations, including fold dilution, normalization, and conversions.
  • Understand, analyze, and interpret DNA/RNA/NGS library/sequencing QC results. 
  • Liaise with post-doctoral, doctoral, and staff researchers, clinical investigators, and principal investigators to provide quality customer service.
  • Handle multiple demands and/or manage complex and competing priorities, pivoting as needed based on current needs in a dynamic environment.
  • Apply advanced knowledge of science/learning/specialized intellectual instructions to analyze, interpret, or make deductions from varying facts or circumstances.
  • Provide and/or support a level of work excellence and accuracy; recognize and address flaws or errors that others may overlook.
  • Regular oral and written communication with team members and team lead.
  • Accurate and detailed electronic documentation of work performed and results obtained.
  • Work independently as part of a team under direct supervision of a team lead.
  • Observe and comply with all safety standards and procedures.

Required Qualifications:

  • Associate Degree or College Diploma in Biology, Biochemistry, or a related scientific or engineering discipline.
  • Minimum of one (1) year of hands-on experience in a laboratory or biotechnology environment.
  • Demonstrated experience working with biomedical equipment, including routine maintenance, calibration, troubleshooting, and/or performance testing.

Strongly Preferred:

  • Experience with single-cell and spatial assay technologies. This includes familiarity with techniques such as single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, multiplex imaging, or other high-dimensional molecular profiling platforms.
  • Working knowledge of sample preparation workflows, library preparation, quality control metrics, and data generation associated with next-generation sequencing or imaging-based assays.
  • Experience handling complex biological specimens and maintaining data integrity in high-throughput experimental environments.
  • Bachelor's Degree in Biology, Biochemistry, or a related science or engineering field.

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