Scientists performing bioinformatics research and analysis focused on transcriptomics (bulk, single cell, and spatial), genomics, and multi-omics data analysis in biomedical research, including ...
Scientists performing bioinformatics research and analysis focused on transcriptomics (bulk, single cell, and spatial), genomics, and multi-omics data analysis in biomedical research, including ...
... single-cell and spatial transcriptomics, proteomics, lipidomics and connectomics, as well as stem cell and organoid approaches for studying retinal physiology. Research areas may involve humans ...
... single-cell and spatial transcriptomics, proteomics, lipidomics and connectomics, as well as stem cell and organoid approaches for studying retinal physiology. Research areas may involve humans ...
Single Cell Spatial Transcriptomics information
See Rochester, NY salary details
$12.57 - $14.12
3% of jobs
$14.12 - $15.68
6% of jobs
$16.56 is the 25th percentile. Wages below this are outliers.
$15.68 - $17.23
27% of jobs
The median wage is $18.61 / hr.
$17.23 - $18.78
15% of jobs
$18.78 - $20.33
9% of jobs
$20.33 - $21.89
0% of jobs
$21.89 - $23.44
1% of jobs
$23.44 - $24.99
6% of jobs
$26.07 is the 75th percentile. Wages above this are outliers.
$24.99 - $26.54
9% of jobs
$26.54 - $28.10
9% of jobs
$28.10 - $29.65
13% of jobs
$12
$21
$29
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 Rochester, NY is $21.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $26.78 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 are popular job titles related to Single Cell Spatial Transcriptomics jobs in Rochester, NY?
For Single Cell Spatial Transcriptomics jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Single Cell Spatial Transcriptomics jobs in Rochester, NY look for?
The top searched job categories for Single Cell Spatial Transcriptomics jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Single Cell Spatial Transcriptomics jobs?
Cities near Rochester, NY with the most Single Cell Spatial Transcriptomics job openings:
Full-time
Re-posted 23 days ago
University Of Rochester rating
8.3
Based on 186 frontline employees who took The Breakroom Quiz
126th of 620 rated colleges and universities
Job description
Description
The Department of Biomedical Genetics at the University of Rochester Medical Center in Rochester, NY is currently seeking an Assistant Professor in the area of Bioinformatics. Bioinformatics is a strategic priority at the University and the Wilmot Cancer Institute. Scientists performing bioinformatics research and analysis focused on transcriptomics (bulk, single cell, and spatial), genomics, and multi-omics data analysis in biomedical research, including cancer, would be well-suited for this position. The successful candidate will perform scientific research in the area of bioinformatics and support the advanced analytical needs of Wilmot Cancer Institute (WCI) members, including transcriptomics, genomics, and multi-omics data analysis. They also will guide experimental design as it relates to downstream data analysis, including contributions to peer-reviewed grant proposals as key personnel or co-investigator, and stay abreast of developing WCI research priorities, including emerging trends, methods, and tools in bioinformatics and data science. Participation in teaching activities of the Department of Biomedical Genetics and the Wilmot Cancer Institute relating to bioinformatics and data science is also required.
Candidates should hold a PhD degree or equivalent, have at least four years of post-doctoral work experience, and have a demonstrated track record of research accomplishments in an area relevant to bioinformatics and cancer. New faculty will benefit from vibrant graduate/professional training programs, state-of-the-art infrastructure and core facilities, and a strong Institutional commitment to career development. Compensation will be commensurate with qualifications and experience.
Qualifications
Ph.D. degree or equivalent
Bioinformatics research in the area of transcriptomics (bulk, single cell and spatial), genomics, and multi-omics data analysis focused on biomedical research, particularly cancer.
Application Instructions
If you already have an Interfolio account, please sign in to apply to this position. If not, please create an Interfolio account. For questions/concerns pertaining to the position, email ania_dworzanski@urmc.rochester.edu
The referenced pay range represents the University's good faith and reasonable estimate of the base range of compensation for this faculty position. Individual salaries will be determined within the job's salary range and established based on (but not limited to) market data, experience and expertise of the individual, and with consideration to related position salaries. Alignment of clinical incentive-based compensation may also be applicable and will be discussed during the hiring process.
The Department of Biomedical Genetics at the University of Rochester Medical Center in Rochester, NY is currently seeking an Assistant Professor in the area of Bioinformatics. Bioinformatics is a strategic priority at the University and the Wilmot Cancer Institute. Scientists performing bioinformatics research and analysis focused on transcriptomics (bulk, single cell, and spatial), genomics, and multi-omics data analysis in biomedical research, including cancer, would be well-suited for this position. The successful candidate will perform scientific research in the area of bioinformatics and support the advanced analytical needs of Wilmot Cancer Institute (WCI) members, including transcriptomics, genomics, and multi-omics data analysis. They also will guide experimental design as it relates to downstream data analysis, including contributions to peer-reviewed grant proposals as key personnel or co-investigator, and stay abreast of developing WCI research priorities, including emerging trends, methods, and tools in bioinformatics and data science. Participation in teaching activities of the Department of Biomedical Genetics and the Wilmot Cancer Institute relating to bioinformatics and data science is also required.
Candidates should hold a PhD degree or equivalent, have at least four years of post-doctoral work experience, and have a demonstrated track record of research accomplishments in an area relevant to bioinformatics and cancer. New faculty will benefit from vibrant graduate/professional training programs, state-of-the-art infrastructure and core facilities, and a strong Institutional commitment to career development. Compensation will be commensurate with qualifications and experience.
Qualifications
Ph.D. degree or equivalent
Bioinformatics research in the area of transcriptomics (bulk, single cell and spatial), genomics, and multi-omics data analysis focused on biomedical research, particularly cancer.
Application Instructions
If you already have an Interfolio account, please sign in to apply to this position. If not, please create an Interfolio account. For questions/concerns pertaining to the position, email ania_dworzanski@urmc.rochester.edu
The referenced pay range represents the University's good faith and reasonable estimate of the base range of compensation for this faculty position. Individual salaries will be determined within the job's salary range and established based on (but not limited to) market data, experience and expertise of the individual, and with consideration to related position salaries. Alignment of clinical incentive-based compensation may also be applicable and will be discussed during the hiring process.
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About University of Rochester
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Company size
10,000+ Employees
Headquarters location
Rochester, NY, US
Year founded
1850