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Single Cell Spatial Transcriptomics Jobs in Wimauma, FL

UAB

RESEARCH SCIENTIST SPECIALIST

Tampa, FL · On-site

The Research Scientist Specialist will perform single cell and spatial assays using technologies by 10X, BD, PARSE, Lunaphore and others. This position involves initial consultation with users to ...

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Single Cell Spatial Transcriptomics information

See Wimauma, FL salary details

$9

$16

$23

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

As of Jul 23, 2026, the average hourly pay for single cell spatial transcriptomics in Wimauma, FL is $16.85, according to ZipRecruiter salary data. Most workers in this role earn between $13.08 and $21.15 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 cities near Wimauma, FL are hiring for Single Cell Spatial Transcriptomics jobs? Cities near Wimauma, FL with the most Single Cell Spatial Transcriptomics job openings:
Single Cell Spatial Transcriptomics jobs near you
Postdoctoral Fellow for Computational Oncology and AI in Cellular Immunotherapy and Immuno-Oncology

Postdoctoral Fellow for Computational Oncology and AI in Cellular Immunotherapy and Immuno-Oncology

Moffitt Cancer Center

Tampa, FL • On-site

Full-time

Posted 23 days ago

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

68th of 889 rated healthcare providers

Job description

Job Summary:
Moffitt Cancer Center is a leading cancer research institute dedicated to the prevention and cure of cancer. They are seeking a Postdoctoral Fellow for Computational Oncology and AI in Cellular Immunotherapy and Immuno-Oncology to contribute to innovative projects in cancer genomics and biomarker discovery.
Responsibilities:
• Discover and validate new predictive biomarkers using large-scale cancer omics datasets, including single-cell and spatial omics data.
• Develop and extend computational, statistical and machine learning methods to advance cancer clinical and translational research.
• Design and implement novel visualizing tools to facilitate interpretation of complex omics results.
• Collaborate with clinicians and scientists across Moffitt clinical and research programs.
Qualifications:
Required:
• PhD in Bioinformatics, Computer Science, Computational Biology, Statistics/Biostatistics, Data Science, or related quantitative fields.
• Research background/experiences in artificial intelligence, bioinformatics, biostatistics/statistics, computational biology, or genomics.
• A highly motivated and independent researcher with a strong quantitative scientific background.
• Committed to producing high-quality, high-impact research and contributing to publications and grant proposals.
Preferred:
• Strong programming skills in languages such as Python and R.
• Research background in AI and machine learning.
• Experience of processing and integration of multi-omics data including single-cell RNA-seq, spatial omics, etc.
• Excellent communication and writing skills.
Company:
Moffitt Cancer Center are contribute to the prevention and cure of cancer. Founded in 1984, the company is headquartered in Tampa, USA, with a team of 10001+ employees. The company is currently Late Stage.

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