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Spatial Transcriptomics Omics Jobs (NOW HIRING)

... spatial transcriptomics, and other multi-omics technologies. * Analyze, interpret, and communicate scientific findings through high-impact publications, presentations at national and international ...

... spatial transcriptomics, and other multi-omics technologies. * Analyze, interpret, and communicate scientific findings through high-impact publications, presentations at national and international ...

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Spatial Transcriptomics Omics information

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$49K

$203.5K

$400K

How much do spatial transcriptomics omics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for spatial transcriptomics omics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is spatial transcriptomics in omics research?

Spatial transcriptomics is a cutting-edge technology in the field of omics that allows researchers to measure and map gene expression within the spatial context of intact tissue sections. This means scientists can see which genes are active in specific locations of a tissue, preserving the spatial relationships between cells. By combining spatial information with transcriptomic data, researchers gain deeper insights into tissue organization, cellular interactions, and disease mechanisms. This approach is especially valuable for understanding complex tissues like tumors or brain structures.

What are the key skills and qualifications needed to thrive as a spatial transcriptomics specialist?

To thrive as a Spatial Transcriptomics Specialist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with high-throughput sequencing platforms, spatial omics technologies, and data analysis tools like R or Python is essential, along with experience using laboratory automation systems. Attention to detail, problem-solving abilities, and effective interdisciplinary communication are crucial soft skills for this role. These skills ensure accurate experimental design, robust data interpretation, and successful collaboration in cutting-edge biological research.

What are some common challenges faced by professionals in spatial transcriptomics omics, and how can they be addressed?

Professionals working in Spatial Transcriptomics Omics often encounter challenges such as managing and interpreting large, complex datasets, integrating multi-omics data, and keeping pace with rapidly evolving technologies. Effective collaboration with bioinformaticians, pathologists, and laboratory technicians is essential to ensure high-quality results. Staying updated with the latest analytical tools and participating in cross-disciplinary training can help overcome these challenges and enhance both research quality and career growth.

What is the difference between Spatial Transcriptomics Omics vs Spatial Transcriptomics Technician?

AspectSpatial Transcriptomics OmicsSpatial Transcriptomics Technician
Required CredentialsAdvanced degrees (Master's/PhD) in molecular biology, genomics, or related fieldsAssociate's or Bachelor's degree in biology, biotechnology, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsLaboratories, research facilities, biotech companies
Industry UsageResearch and development, data analysis, method developmentSample preparation, data collection, equipment operation

Spatial Transcriptomics Omics professionals focus on data analysis, method development, and research, often requiring advanced degrees. In contrast, Spatial Transcriptomics Technicians handle sample preparation and operate equipment, typically with a technical diploma or bachelor's degree. Both roles are essential in the spatial transcriptomics industry but differ in responsibilities and qualifications.

More about Spatial Transcriptomics Omics jobs

What cities are hiring for Spatial Transcriptomics Omics jobs?

Cities with the most Spatial Transcriptomics Omics job openings:

What states have the most Spatial Transcriptomics Omics jobs?

States with the most job openings for Spatial Transcriptomics Omics jobs include:

What job categories do people searching Spatial Transcriptomics Omics jobs look for?

The top searched job categories for Spatial Transcriptomics Omics jobs are:

Infographic showing various Spatial Transcriptomics Omics job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Postdoctoral Associate - Vascular Surgery

University of Florida

Gainesville, FL • On-site

$62K/yr

Full-time

Re-posted 3 hours ago


University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

385th of 623 rated colleges and universities


Job description

Postdoctoral Associate - Vascular Surgery
Job no: 538584
Work type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Biology/Life Science
Department:29141900 - MD-SURGERY-VASCULAR
Classification Title:
Postdoctoral Associate - Vascular Surgery
Classification Minimum Requirements:
For methodology A PhD degree in (Bio)Statistics, (Bio)informatics, Computer Science, Mathematics or a related quantitative field.
Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply.
Job Description:
This position is based within the genomics research team led by Dr. Guoshuai Cai in the Department of Surgery and Dr. Feifei Xiao in the Department of Biostatistics, in collaboration with the Sepsis and Critical Illness Research Center (SCIRC) at the University of Florida (UF).
The successful candidate will have a unique opportunity to contribute to large-scale clinical studies and to apply and develop state-of-the-art analytical methods and computational pipelines for diverse data modalities, including transcriptomics (e.g., single-cell RNA-seq and spatial transcriptomics), chromatin accessibility (e.g., ATAC-seq), protein-DNA interactions (e.g., CUT&Tag), and integrative multi-omics datasets. This role also offers opportunities to apply artificial intelligence, machine learning, and digital twin frameworks to integrate multi-omics, clinical, and longitudinal data for disease modeling, patient-specific risk prediction, therapeutic simulation, and precision medicine discovery.
The research will focus on elucidating biological networks underlying critical and chronic diseases and to identify novel therapeutic strategies by developing or applying multi-omic integrative methods. This role involves close collaboration with a multidisciplinary team of immunologists and critical care intensivists at SCIRC, with research spanning sepsis, trauma, vascular diseases, Alzheimer's disease, and complex disease interactions.
In addition, the candidate will play a key role in advancing the Surgery Genomics Core infrastructure by establishing robust analytical pipelines and developing novel computational and statistical methods for integrative analysis of multi-omics and clinical data
UF Sepsis and Critical Illness Research Center: The Sepsis and Critical Illness Research Center, the first of its kind in the nation, studies long-term outcomes in patients treated for sepsis in the surgical and trauma intensive care units at UF Health Shands Hospital, with the goal of developing clinical solutions for sepsis as well as illnesses that stem from it and their enduring, dismal effects. The Center focuses on targeted clinical and preclinical studies to better understand the underlying pathophysiologic mechanisms that drive long-term outcomes in critically ill hospitalized patients.
Website: https://scirc.med.ufl.edu/
UF Surgery Genomics Core: The Genomics Core Facility, directed by Dr. Guoshuai Cai, provides comprehensive instrumentation, cutting-edge technologies, and expert technical support for genomics research. The core offers services such as next-generation sequencing, single-cell and spatial transcriptomics and proteomics, and advanced data analysis pipelines. It serves as a centralized resource for all investigators within the Department of Surgery at UF, enabling high-quality, reproducible results while promoting collaboration and innovation. In addition to instrumentation and technical support, the core provides consultation on experimental design, data interpretation, and integration of genomics data into translational research projects.
Website: https://surgery.med.ufl.edu/research/research-resources/uf-surgery-genomics-core/
Expected Salary:
$62,232 annually, commensurate with experience levels and in accordance with current NIH postdoctoral salary guidelines.
Required Qualifications:
For methodology A PhD degree in (Bio)Statistics, (Bio)informatics, Computer Science, Mathematics or a related quantitative field.
Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply.
Preferred:
Proficient in R and Python.
Prior experience in genetic or genomic data analysis; experience with AI is a plus.
Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
This requisition has been reposted. Previous applicants are still under consideration and need not apply.
Health Assessment Required: Yes
Advertised: 29 Jan 2026 Eastern Standard Time
Applications close: 30 Oct 2026 Eastern Daylight Time
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

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Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853