By developing advanced tools and analyzing genome-scale datasets, including single-cell RNA sequencing and spatial transcriptomics, the lab investigates gene regulation and cell-cell interactions.
By developing advanced tools and analyzing genome-scale datasets, including single-cell RNA sequencing and spatial transcriptomics, the lab investigates gene regulation and cell-cell interactions.
Research Associate I - Guzman Lab - Department of Neurology
Fresno, CA · On-site
$17.75 - $24.50/hr
When the work you do every single day has a crucial impact on the lives of others, every effort ... Conducts spatial transcriptomics workflows. * Assists with microscopy, imaging, and data generation.
Research Associate I - Guzman Lab - Department of Neurology
Fresno, CA · On-site
$17.75 - $24.50/hr
When the work you do every single day has a crucial impact on the lives of others, every effort ... Conducts spatial transcriptomics workflows. * Assists with microscopy, imaging, and data generation.
Single Cell Spatial Transcriptomics information
See Folsom, CA salary details
$13.62 - $15.31
3% of jobs
$15.31 - $16.99
6% of jobs
$17.94 is the 25th percentile. Wages below this are outliers.
$16.99 - $18.67
27% of jobs
The median wage is $20.17 / hr.
$18.67 - $20.35
15% of jobs
$20.35 - $22.04
9% of jobs
$22.04 - $23.72
0% of jobs
$23.72 - $25.40
1% of jobs
$25.40 - $27.08
6% of jobs
$28.25 is the 75th percentile. Wages above this are outliers.
$27.08 - $28.77
9% of jobs
$28.77 - $30.45
9% of jobs
$30.45 - $32.13
13% of jobs
$13
$23
$32
How much do single cell spatial transcriptomics jobs pay per hour?
As of Jun 16, 2026, the average hourly pay for single cell spatial transcriptomics in Folsom, CA is $23.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $29.04 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 job categories do people searching Single Cell Spatial Transcriptomics jobs in Folsom, CA look for? The top searched job categories for Single Cell Spatial Transcriptomics jobs in Folsom, CA are:
What cities near Folsom, CA are hiring for Single Cell Spatial Transcriptomics jobs? Cities near Folsom, CA with the most Single Cell Spatial Transcriptomics job openings:
Full-time
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Cedars-Sinai rating
8.6
Based on 129 frontline employees who took The Breakroom Quiz
37th of 999 rated hospitals
Job description
Job Description
Principal Investigator, Dr. Kyoung Jae Won, is looking for a Postdoctoral Scientist to join the Department of Computational Biomedicine!
The Department of Computational Biomedicine reflects Cedars-Sinai's commitment to advancing medical discovery and the recognition of the foundational role complex data plays in our research and clinical care. We are recruiting multiple postdoctoral research fellows in the newly established Department of Computational Biomedicine at the Cedars Sinai Medical Center (CSMC). We welcome applications from highly motivated candidates who enjoy innovative thinking. Including a cover letter and publication examples are preferred, but not required.
Are you ready to be a part of breakthrough research?
The Won Lab uses computational and AI-driven approaches to study complex biological systems. By developing advanced tools and analyzing genome-scale datasets, including single-cell RNA sequencing and spatial transcriptomics, the lab investigates gene regulation and cell–cell interactions. Integrating multi-omics data—such as genomic, transcriptomic, proteomic, and epigenomic information—with contextual features like cell size, neighboring cells, and tissue architecture, the lab seeks to understand how cells function within and respond to their local and global environments. For more information, please visit Won Lab.
In this role, the Postdoctoral Scientist will be expected to work independently under the direction of Dr. Won and in close cooperation, as well as consultation, with other research staff. As a Postdoctoral Scientist, perform routine and complex laboratory procedures throughout the training period and may develop, adapt, and implement new research techniques and protocols.
Primary Job Duties and Responsibilities:
- May assist in the preparation of grant proposals, but is not responsible for generating grant funds.
- May participate in publications and presentations as author or co-author.
- Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the P.I.
- Analyzes, interprets, summarizes and compiles data.
- Operates and maintains equipment and instruments.
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Hospitals, outpatient health care and health care and social assistance
Company size
10,000+ Employees
Headquarters location
Los Angeles, CA, US