1

Single Cell Spatial Transcriptomics Jobs in Richmond, VA

Single Cell Spatial Transcriptomics information

See Richmond, VA salary details

$12

$21

$29

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

As of Sep 2, 2026, the average hourly pay for single cell spatial transcriptomics in Richmond, VA is $21.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $26.88 per hour, depending on experience, location, and employer.

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 the 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 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 job categories do people searching Single Cell Spatial Transcriptomics jobs in Richmond, VA look for?

The top searched job categories for Single Cell Spatial Transcriptomics jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Single Cell Spatial Transcriptomics jobs?

Cities near Richmond, VA with the most Single Cell Spatial Transcriptomics job openings:

Infographic showing various Single Cell Spatial Transcriptomics job openings in Richmond, VA as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 76% Full Time, 17% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $44,554 per year, or $21.4 per hour.

Assistant Professor-Cellular, Molecular and Genetic Medicine (CMGM)-SOM

The Chronicle Of Higher Education, Inc.

Richmond, VA • On-site

$110 - $140/hr

Other

Medical, Retirement

Posted 14 days ago


Job description

The Department of Cellular, Genetic, and Molecular Medicine (CMGM) is seeking candidates for a tenure-track faculty position at the rank of Assistant Professor in computational structural biology. The ideal candidate will conduct research using molecular simulations to investigate biomolecular systems, leveraging advanced computational approaches.

We are dedicated to unraveling the fundamental biology that supports health and drives disease. Our faculty, trainees and students tackle some of the most pressing challenges in biomedical science, from the molecular and genetic roots of disease to the complexities of whole-body physiology. Our foundational studies are driving the frontiers of scientific discovery, pushing the boundaries of what we understand about biology, disease and the human body. From our labs in downtown Richmond to research collaborations around the world, our work is generating new knowledge, influencing the direction of biological science and redefining what is possible in biomedical research.

Duties & Responsibilities Research

This position focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling of complex biosystems including membrane protein-lipid interactions, and protein-protein interactions. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell modeling and networked biological systems. We seek to enhance the department's research portfolio and competitiveness in securing new external grants. Therefore, the candidate's research programs will complement existing department and interdepartmental strengths.

Mentoring and teaching

The candidate will act as a mentor to trainees, offering experience to support teaching biochemistry and biophysics courses at both graduate and medical school levels. Furthermore, guidance from new faculty members is anticipated to assist trainees in obtaining prestigious fellowships and developing successful careers. Overall, these initiatives will bolster the department's reputation as a top academic program in Cellular, Molecular, and Genetics.

Service

The Virginia Commonwealth University School of Medicine, located in Richmond, the capital of Virginia, is a vibrant and distinguished community of healers, researchers, and innovators committed to advancing health and scientific discovery. We seek exceptional individuals who are dedicated scholars, accomplished scientists, and emerging leaders to join us in advancing this mission.

Qualifications Minimum Qualifications
  • Ph.D. or M.D./Ph.D. in a quantitative field with a distinguished record of research in structural biology
  • Demonstrated expertise in large-scale multi-omics data integration, with a specific preference for leadership in emerging fields such as single-cell biology, spatial transcriptomics, or digital twin modeling
  • Experience driving translational impact, including navigating technology transfer, managing intellectual property (IP), founding startups, or fostering strategic partnerships with the biotechnology and pharmaceutical industries
  • Demonstration of successful collaborative academic leadership
  • Politically astute and able to work well with people at all levels – university, community, faculty, and staff
  • Unimpeachable integrity and personal ethics
  • Demonstrated ability to work in and foster an environment of respect, professionalism, and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a faculty member at VCU
Preferred Qualifications
  • Ability to contribute in a highly matrixed academic environment
  • Outgoing and personable demeanor and a track record of forging win-win relationships
  • Outstanding communication skills, both oral and written
Salary Range

Commensurate

Benefits

All full-time university staff are eligible for VCU's robust benefits package, that includes comprehensive health benefits, paid annual and holiday leave, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more.

Contact Information

Contact Email: SOMHR@vcuhealth.org

#J-18808-Ljbffr