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Computational Spatial Transcriptomics Jobs in Nashville, TN

... spatial or single-cell transcriptomics molecular biology and genomics microscopy and image analysis CRISPR genome engineering zebrafish and/or mouse models bioinformatics and computational analysis ...

Computational Spatial Transcriptomics information

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$39

$53

$71

How much do computational spatial transcriptomics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for computational spatial transcriptomics in Nashville, TN is $53.05, according to ZipRecruiter salary data. Most workers in this role earn between $45.29 and $71.06 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working in computational spatial transcriptomics, and how can new team members prepare for them?

Professionals in computational spatial transcriptomics often encounter challenges related to handling and analyzing large, complex datasets that combine spatial and gene expression information. Integrating data from different technologies and ensuring data quality can be demanding, requiring strong programming skills and familiarity with bioinformatics pipelines. New team members can prepare by strengthening their skills in statistical analysis, programming languages like Python or R, and staying updated on the latest spatial transcriptomics techniques. Collaborating closely with experimental biologists and data scientists is also key to overcoming these challenges and driving successful research outcomes.

What is the difference between Computational Spatial Transcriptomics vs Computational Biologist?

AspectComputational Spatial TranscriptomicsComputational Biologist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysisTypically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on spatial genomicsResearch institutions, biotech firms, academia working on biological data analysis
Industry UsageSpecialized in spatial transcriptomics techniques and data interpretationBroad biological data analysis across various fields

Computational Spatial Transcriptomics focuses on analyzing spatial gene expression data within tissues, requiring specialized skills in spatial data processing. In contrast, Computational Biologists work on a wider range of biological data types. While both roles involve bioinformatics expertise, the former emphasizes spatial data analysis techniques specific to transcriptomics.

What is computational spatial transcriptomics?

Computational spatial transcriptomics is a field that combines advanced computational methods with spatial transcriptomics, a technique that measures gene expression within the physical context of tissue samples. It involves processing and analyzing large datasets to map where specific genes are active within tissues, helping researchers understand how cells interact and function in their native environments. This approach is crucial for studies in developmental biology, cancer research, and neuroscience, as it provides insights into cellular organization and tissue architecture. Computational tools help extract meaningful patterns from complex data, enabling discoveries that were previously impossible with traditional methods.

What are the key skills and qualifications needed to thrive as a computational spatial transcriptomics scientist, and why are they important?

To excel in Computational Spatial Transcriptomics, you need a strong background in bioinformatics, genomics, and statistical data analysis, typically supported by advanced degrees in computational biology or related fields. Familiarity with programming languages (such as R and Python), spatial transcriptomics platforms (like 10x Genomics Visium), and high-throughput sequencing data analysis tools is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with multidisciplinary teams. These competencies ensure accurate data interpretation, innovative research, and successful integration of spatial transcriptomics insights into biological and clinical applications.
What are popular job titles related to Computational Spatial Transcriptomics jobs in Nashville, TN? For Computational Spatial Transcriptomics jobs in Nashville, TN, the most frequently searched job titles are:
What job categories do people searching Computational Spatial Transcriptomics jobs in Nashville, TN look for? The top searched job categories for Computational Spatial Transcriptomics jobs in Nashville, TN are:
Infographic showing various Computational Spatial Transcriptomics job openings in Nashville, TN as of July 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $110,353 per year, or $53.1 per hour.

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Job description


Staff Scientist in Neural Regeneration
Our laboratory investigates the molecular and cellular mechanisms that enable successful regeneration after spinal cord injury. By integrating single-cell and spatial transcriptomics, CRISPR genome engineering, tissue clearing, advanced microscopy, and functional studies in zebrafish and mouse models, we seek to identify regenerative programs that can ultimately be harnessed to promote neural repair in mammals.
What are we looking for?
We are seeking an experienced, collaborative, and highly motivated scientist with a passion for discovery and scientific excellence. The ideal candidate will have expertise at the intersection of regenerative biology, neuroscience, genomics, and advanced imaging, and will play a key role in developing new technologies, advancing collaborative research projects, and mentoring trainees in a growing laboratory.
Qualifications:
- A Ph.D. in neuroscience, cell biology, developmental biology, molecular biology, or a related discipline
- A strong publication record demonstrating scientific productivity and independence
- Expertise in one or more of the following areas:
regenerative biology
neuroscience
spatial or single-cell transcriptomics
molecular biology and genomics
microscopy and image analysis
CRISPR genome engineering
zebrafish and/or mouse models
bioinformatics and computational analysis (R/Python)
Excellent organizational, communication, and mentoring skills
A collaborative mindset and commitment to rigorous, reproducible science
Role:
- Develop and lead independent research projects
- Establish and optimize new experimental and computational technologies
- Train postdoctoral fellows, graduate students, and research staff
- Analyze complex datasets and contribute to high-impact publications
- Assist with grant preparation and development of new research directions
- Build collaborations across Vanderbilt and with external investigators
- Help shape the long-term scientific vision of the laboratory
What we offer
The Cigliola Laboratory is part of the Department of Pharmacology and the Vanderbilt Brain Institute, providing an outstanding interdisciplinary research environment with access to world-class genomics, imaging, and computational core facilities. The successful candidate will have the opportunity to:
- Contribute to cutting-edge projects in spinal cord regeneration
- Establish new technologies in spatial genomics and advanced imaging
- Publish in leading scientific journals
- Build collaborations across Vanderbilt's neuroscience and regenerative biology communities
- Help shape the growth and scientific direction of a new and ambitious research program
About Vanderbilt:
Vanderbilt University School of Medicine is one of the nation's leading biomedical research institutions and offers an exceptional collaborative environment with strengths in neuroscience, genomics, developmental biology, engineering, and quantitative biology. Located in Nashville, Tennessee, Vanderbilt provides access to outstanding research infrastructure and a vibrant scientific community.
For more information about our research, please visit: https://www.cigliola-lab.com
How to Apply:
Interested candidates should send the following as a single PDF to valentina.cigliola@vanderbilt.edu
- Curriculum vitae
- A brief summary of previous research accomplishments and future scientific interests
- Contact information for 3-5 professional references
Applications will be reviewed on a rolling basis until
About Us
At Vanderbilt University , our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of "America's Best Large Employers" as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice.
We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story.
Vanderbilt University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.

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