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Single Cell Spatial Transcriptomics Jobs in Medford, NJ

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Single Cell Spatial Transcriptomics information

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How much do single cell spatial transcriptomics jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for single cell spatial transcriptomics in Medford, NJ is $21.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $26.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Single Cell Spatial Transcriptomics Scientist, and why are they important?

To thrive as a Single Cell Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in a relevant field. Familiarity with high-throughput sequencing platforms, spatial transcriptomics technologies (like 10x Genomics Visium or NanoString GeoMx), and data analysis tools such as R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These skills and qualities are vital for generating reliable insights into cellular function and spatial organization, which drive innovative research and discovery.

What are some typical challenges faced by professionals working in Single Cell Spatial Transcriptomics, and how can they be addressed?

Professionals in Single Cell Spatial Transcriptomics often encounter challenges related to handling large, complex data sets and integrating spatial information with single-cell transcriptomic profiles. These tasks demand strong computational skills and close collaboration with bioinformaticians and other researchers. Effective communication within interdisciplinary teams is essential to ensure experimental design aligns with downstream analysis needs. Staying updated with rapidly evolving technologies and best practices also helps professionals overcome technical hurdles and produce reliable, high-impact results.

What is single cell spatial transcriptomics?

Single cell spatial transcriptomics is a cutting-edge technique that allows researchers to analyze gene expression in individual cells while preserving their spatial location within a tissue. This method combines the high-resolution insights of single-cell RNA sequencing with spatial information, enabling scientists to understand how cells interact and organize within their native environments. It is widely used in biomedical research to study tissue architecture, disease mechanisms, and cellular heterogeneity.
What are popular job titles related to Single Cell Spatial Transcriptomics jobs in Medford, NJ? For Single Cell Spatial Transcriptomics jobs in Medford, NJ, the most frequently searched job titles are:
What job categories do people searching Single Cell Spatial Transcriptomics jobs in Medford, NJ look for? The top searched job categories for Single Cell Spatial Transcriptomics jobs in Medford, NJ are:
What cities near Medford, NJ are hiring for Single Cell Spatial Transcriptomics jobs? Cities near Medford, NJ with the most Single Cell Spatial Transcriptomics job openings:
Research Associate in Human Immunology - Laura Su's lab

Research Associate in Human Immunology - Laura Su's lab

University of Pennsylvania

Philadelphia, PA • On-site

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 544 rated colleges and universities


Job description

Description
The Division of Rheumatology in the Department of Medicine at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Research Associate position in the Academic Support Staff. This appointment will be initially for one (1) year and continuation during that time period and renewal are based on satisfactory performance and availability of funding (limited to three (3) years). Expertise is required in the specific area of T cell biology and bioinformatics. The ideal candidate will bring deep expertise in tissue culture and flow cytometry, and a broad range of immunologic techniques. A proven track record in analyzing bulk and single-cell RNA-seq, TCR-seq, and BCR-seq data is essential. Candidates must be proficient in advanced statistical and computational methods and have a solid understanding of adaptive immunity. We are looking for a highly self-motivated individual with strong problem-solving skills, effective communication, and excellent organizational abilities. The candidate must be able to work independently and collaboratively. Applicants must have a Ph.D. degree.
Responsibilities may include performing T cell stimulation, antibody staining, cell sorting, preparing bulk and single-cell sequencing libraries, analyzing and integrating RNA-seq, ATAC-seq, TCR-seq, and BCR-seq multi-omic datasets using R or Python. Experience with advanced statistical modeling is expected. Familiarity with spatial transcriptomics is a plus.
The successful applicant will have an opportunity to contribute to publication-driven projects aimed at understanding immune dysregulation in autoimmune diseases and identifying novel biomarkers for type 1 diabetes (T1D). This position offers significant independence, leadership opportunities on high-impact projects, mentorship of junior lab members, and active involvement in cutting-edge translational immunology research. The role includes strong support for authorship and professional development to foster research independence within a highly collaborative and intellectually stimulating environment.

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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.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

Year founded

1740