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Single Cell Spatial Transcriptomics Jobs in Dallas, TX

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

As of Aug 20, 2026, the average hourly pay for single cell spatial transcriptomics in Dallas, TX is $21.41, 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 Dallas, TX look for?

The top searched job categories for Single Cell Spatial Transcriptomics jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Single Cell Spatial Transcriptomics jobs?

Cities near Dallas, TX with the most Single Cell Spatial Transcriptomics job openings:

Infographic showing various Single Cell Spatial Transcriptomics job openings in Dallas, TX as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 78% Full Time, 16% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $44,537 per year, or $21.4 per hour.

POSTDOCTORAL RESEARCHER - Program in Memory Longevity - Losonczy Lab [Req#: 875238, Position#: 12755

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 14 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 889 rated healthcare providers


Job description

Description
The newly established Program for Memory Longevity (PML), led by Attila Losonczy, MD, PhD, in the O'Donnell Brain Institute (OBI) and the Department of Neuroscience at the University of Texas Southwestern (UTSW) Medical Center in Dallas, seeks applications for multiple postdoctoral fellow positions to investigate memory mechanisms in the mammalian brain using innovative molecular, cellular, or imaging approaches in animal models and human tissue. The successful applicant will be embedded in the larger Neuroscience community at UTSW and OBI, and will benefit from a network of collaborations with research groups in the US and Europe.
This is a full-time postdoctoral fellow position in a neurobiology laboratory focusing on the synaptic and cellular/molecular mechanisms of learning and memory.
Potential projects include:
• In vitro electrophysiology and imaging: Characterizing synaptic and dendritic integration and plasticity of mouse and human hippocampal neurons using patch-clamp recording, single-cell electroporation, Patch-seq, and advanced imaging approaches.
• In vivo imaging: Characterizing synaptic plasticity during navigation and learning using two-photon calcium, voltage, and neurotransmitter imaging.
• Molecular neurobiology: Characterizing learning related plasticity in vivo and in vitro through multi-omics approaches (e.g., transcriptomics, proteomics).
Qualifications
Required qualifications: Candidates should have experience in one or more of the following areas:
• In vitro electrophysiology:
Proficiency in whole-cell patch clamp recording, acute slice preparation, and/or cell culture electrophysiology, along with related data analysis methods using tools such as MATLAB or Python.
• In vivo imaging:
Proficiency with in vivo two-photon calcium and/or voltage imaging techniques, including experimental execution and data analysis.
• Molecular neurobiology:
Proficiency with techniques such as proteomics, transcriptomics and genomics, and related bioinformatics and statistical analysis techniques.
Candidates must hold a Ph.D. in Neuroscience, Cell Biology, Biochemistry Physics, (Electrical) Engineering, Statistics, Computer Science or a related field.
Application Instructions
Interested individuals must upload a CV, research statement and name/contact information for three referees.

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