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Single Cell Rna Sequencing Jobs (NOW HIRING)

CLIA Lab Director

San Francisco, CA · On-site

$200K - $300K/yr

Oversee implementation and validation of complex molecular assays, including 10x Genomics next-generation single-cell and spatial RNA sequencing * Manage technical transfer of assays from R&D into ...

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Single Cell Rna Sequencing information

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

As of Jul 23, 2026, the average hourly pay for single cell rna sequencing in the United States is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by researchers working in Single Cell RNA Sequencing, and how can they be addressed?

Researchers in Single Cell RNA Sequencing often encounter challenges such as sample preparation variability, data complexity, and managing large datasets. Ensuring high-quality single-cell suspensions and minimizing cell loss during processing are critical steps. Additionally, interpreting data requires proficiency with bioinformatics tools and collaboration with computational biologists. Staying up-to-date with evolving protocols and leveraging multi-disciplinary teamwork can help address these challenges effectively.

What is the difference between Single Cell Rna Sequencing vs Single Cell Genomics Technician?

AspectSingle Cell Rna SequencingSingle Cell Genomics Technician
CredentialsTypically requires a degree in biology, molecular biology, or related fields; experience with sequencing technologiesSimilar credentials; often with laboratory or technical certifications in genomics
Work EnvironmentLaboratories performing sequencing, data analysis, and sample preparationLaboratories focused on sample processing, sequencing support, and data collection
Industry UsageUsed in research labs, biotech, and pharmaceutical companies for gene expression studiesCommon in genomics research centers, biotech firms, and academic labs

Both roles involve working with genomic technologies and require similar educational backgrounds. However, Single Cell Rna Sequencing specialists focus more on RNA analysis and data interpretation, while Single Cell Genomics Technicians support sample preparation and sequencing workflows. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a Single Cell RNA Sequencing Specialist, and why are they important?

To thrive as a Single Cell RNA Sequencing Specialist, you need a solid background in molecular biology, genomics, and data analysis, typically supported by a relevant degree in the life sciences. Familiarity with sequencing platforms (such as 10x Genomics or Illumina), bioinformatics tools (like Seurat or Cell Ranger), and experience with data visualization are crucial. Attention to detail, problem-solving ability, and strong communication skills help ensure accurate results and effective collaboration with research teams. Mastering these skills is essential for generating high-quality data, troubleshooting experiments, and translating complex findings into actionable insights.

What is single cell RNA sequencing?

Single cell RNA sequencing (scRNA-seq) is a technique that allows researchers to examine the gene expression profiles of individual cells. Unlike traditional RNA sequencing, which measures average gene expression across thousands or millions of cells, scRNA-seq reveals the unique transcriptomic signature of each cell. This method is valuable for studying cellular diversity, identifying rare cell types, and understanding complex biological processes such as development, disease progression, and immune responses.
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Infographic showing various Single Cell Rna Sequencing job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,021 per year, or $21.6 per hour.
Postdoctoral Position in Skeletal Regeneration, Diabetes, and Spatial Biology

Postdoctoral Position in Skeletal Regeneration, Diabetes, and Spatial Biology

University of Pennsylvania

Penn, PA • On-site

$43K - $59K/yr

Full-time

Posted 3 days ago


University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

134th of 560 rated colleges and universities


Job description

Description
A postdoctoral position is available in the laboratory of Dr. Dana Graves at the University of Pennsylvania's School of Dental Medicine, Department of Periodontics, to investigate a newly identified mechanism through which diabetes impairs fracture healing and to develop a locally delivered therapeutic strategy to restore skeletal repair.
The project is supported by strong preliminary evidence demonstrating that lineage-specific deletion of FOXO1 in chondrocytes or osteoblasts reverses diabetes-impaired fracture healing. We have also found that disruption of primary cilia in these skeletal lineages reproduces defining features of defective repair in diabetes. Together, these findings identify and strongly support a previously unrecognized FOXO1-primary cilia signaling axis as an important regulator of skeletal regeneration under diabetic conditions.
The successful candidate will define how diabetes-induced FOXO1 activity alters ciliogenesis, cellular differentiation, and regenerative signaling in chondrocytes and osteoblasts. The studies will integrate conditional mouse models targeting FOXO1, IFT80, and combined FOXO1/IFT80 deletion with fracture-healing models of type 1 and type 2 diabetes to establish the cellular and molecular events that impair skeletal regeneration.
A major emphasis will be resolution of the fracture-healing microenvironment at spatial and single-cell resolution. Experimental approaches will include 10x Genomics Xenium spatial transcriptomics, single-cell RNA sequencing, computational analysis using R and Seurat, histology, immunofluorescence, semi-automated image analysis, and microcomputed tomography. These complementary methods will identify lineage-specific transcriptional programs, spatially organized signaling networks, and cellular interactions that distinguish effective from impaired skeletal repair and determine how these programs are altered by diabetes, FOXO1 activity, and loss of primary cilia.
The project also includes a translational component focused on a newly developed IGF-1 mimetic-containing nanofiber hydrogel designed for controlled local delivery at the fracture site. The candidate will examine its effects on inflammation and the sequential formation of immature mesenchymal tissue, cartilage, and bone, and determine whether the hydrogel restores cilia-dependent regenerative signaling, limits pathological FOXO1 activity, and improves structural and functional fracture healing in type 1 and type 2 diabetes. This work directly connects discovery of a previously unexplored regulatory pathway with preclinical evaluation of a locally delivered, mechanism-based therapy.
Professional Development and Research Environment
The fellow will be expected to take substantial intellectual ownership of the project, including development of experimental directions, leadership of spatial-transcriptomic and computational analyses, presentation of findings, and preparation of first-author manuscripts. The position provides multidisciplinary training at the interface of skeletal biology, diabetes, mouse genetics, spatial and single-cell genomics, computational biology, and translational biomaterials research. The fellow will receive direct scientific mentoring from Dr. Graves, regular project-based guidance, and opportunities to work with collaborators and shared-resource specialists across the University of Pennsylvania. Access to Penn core facilities and collaborative expertise will support spatial transcriptomics, single-cell genomics, imaging, histology, and quantitative analysis. Guided training in R, Seurat, and analysis of Xenium and single-cell datasets will be available to candidates who have strong experimental backgrounds but require additional computational experience. The research plan is designed to support intellectual independence, high-quality first-author publications, and development of a competitive platform for subsequent fellowship, faculty, or industry applications.
Qualifications
Applicants should hold a PhD, MD, DMD, DVM, or equivalent degree in skeletal biology, cell biology, molecular biology, bioengineering, diabetes biology, immunology, computational biology, or a related field.
Experience in one or more of the following areas is desirable: mouse genetics and disease models, bone or cartilage biology, fracture healing, spatial transcriptomics, single-cell RNA sequencing, computational analysis using R and Seurat, image analysis, molecular and cellular assays, histology, or microcomputed tomography. Candidates with strong experimental backgrounds who wish to develop expertise in osseous and regenerative biology, spatially resolved molecular analysis, and single-cell transcriptomics are encouraged to apply. Evidence of scientific rigor, clear communication, and the ability to work both independently and collaboratively will be important.
Application Instructions
Funding duration: The position if grant supported through 2028 and the PI has other grant support through 2031.
Anticipated start date: Available immediately following interviews and feedback from references.
Application materials: Please submit a curriculum vitae, a brief statement describing research experience and future interests, and the names and contact information of three references.
Contact: Jen East jeneast@upenn.edu

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About University of Pennsylvania

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The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

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