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Single Cell Rna Sequencing Jobs in Rochester, NY

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Single Cell Rna Sequencing information

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$12

$21

$29

How much do single cell rna sequencing jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for single cell rna sequencing 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 RNA sequencing?

Single cell RNA sequencing (scRNA-seq) is a technique that allows researchers to examine the gene expression profiles of individual cells. Unlike traditional RNA sequencing, which measures average gene expression across thousands or millions of cells, scRNA-seq reveals the unique transcriptomic signature of each cell. This method is valuable for studying cellular diversity, identifying rare cell types, and understanding complex biological processes such as development, disease progression, and immune responses.

What are the key skills and qualifications needed to thrive as a single cell RNA sequencing specialist?

To thrive as a Single Cell RNA Sequencing Specialist, you need a solid background in molecular biology, genomics, and data analysis, typically supported by a relevant degree in the life sciences. Familiarity with sequencing platforms (such as 10x Genomics or Illumina), bioinformatics tools (like Seurat or Cell Ranger), and experience with data visualization are crucial. Attention to detail, problem-solving ability, and strong communication skills help ensure accurate results and effective collaboration with research teams. Mastering these skills is essential for generating high-quality data, troubleshooting experiments, and translating complex findings into actionable insights.

What are some common challenges faced by researchers working in single cell RNA sequencing, and how can they be addressed?

Researchers in Single Cell RNA Sequencing often encounter challenges such as sample preparation variability, data complexity, and managing large datasets. Ensuring high-quality single-cell suspensions and minimizing cell loss during processing are critical steps. Additionally, interpreting data requires proficiency with bioinformatics tools and collaboration with computational biologists. Staying up-to-date with evolving protocols and leveraging multi-disciplinary teamwork can help address these challenges effectively.

What is the difference between Single Cell Rna Sequencing vs Single Cell Genomics Technician?

AspectSingle Cell Rna SequencingSingle Cell Genomics Technician
CredentialsTypically requires a degree in biology, molecular biology, or related fields; experience with sequencing technologiesSimilar credentials; often with laboratory or technical certifications in genomics
Work EnvironmentLaboratories performing sequencing, data analysis, and sample preparationLaboratories focused on sample processing, sequencing support, and data collection
Industry UsageUsed in research labs, biotech, and pharmaceutical companies for gene expression studiesCommon in genomics research centers, biotech firms, and academic labs

Both roles involve working with genomic technologies and require similar educational backgrounds. However, Single Cell Rna Sequencing specialists focus more on RNA analysis and data interpretation, while Single Cell Genomics Technicians support sample preparation and sequencing workflows. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Single Cell Rna Sequencing jobs in Rochester, NY?

For Single Cell Rna Sequencing jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Single Cell Rna Sequencing jobs in Rochester, NY look for?

The top searched job categories for Single Cell Rna Sequencing jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Single Cell Rna Sequencing jobs?

Cities near Rochester, NY with the most Single Cell Rna Sequencing job openings:

Single Cell Rna Sequencing jobs near you
Infographic showing various Single Cell Rna Sequencing job openings in Rochester, NY as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 75% Full Time, 18% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $44,421 per year, or $21.4 per hour.

Bioinformatics Analyst I - Sun Lab

Rochester, NY • On-site

University of Rochester
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Rochesterexternal

$63K - $95K/yr

Other

Posted 8 days ago

Key responsibilities

  • Contributes to computational analysis of data generated across multiple research projects in the Sun lab.

  • Develops, maintains, and applies bioinformatic pipelines for various high-throughput sequencing and omics data.

  • Performs data processing, quality control, statistical modeling, machine learning, and integrative analysis to identify biological patterns.

University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

129th of 633 rated colleges and universities

Job description

## Bioinformatics Analyst I - Sun LabApplylocations: Kornberg Medical Research Buildingtime type: Full timeposted on: Posted Todayjob requisition id: R272290As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.**Job Location (Full Address):**601 Elmwood Ave, Rochester, New York, United States of America, 14642**Opening:**Worker Subtype:RegularTime Type:Full timeScheduled Weekly Hours:40Department:400020 Microbiology & Immunology M&DWork Shift:UR - Day (United States of America)Range:UR URG 111Compensation Range:$63,815.00 - $95,723.00*The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.***Responsibilities:**Contributes to computational analysis of data generated across multiple research projects in the Sun lab, with a focus on cancer evolution, tumor immunology, transposable element biology, and multi-omics data integration. Develops, maintains, and applies bioinformatic pipelines for bulk and single cells RNA sequencing, spatial transcriptomics , epigenetic profiling, epigenomic profiling, proteomics, and genomic analysis. Perform data processing, quality control, statistical modeling, machine learning, and integrative analysis to identify biologically meaningful patterns and generate testable hypotheses. Collaborate closely with experimental researcher to design studies, interpret results, and support manuscript and grant preparation. Contributes to the development of reproducible computational workflows, data visualization tools, and laboratory data-management infrastructure while helping establish and expand the laboratory’s computational research capabilities.**Essential Functions:*** Responsible for the preparation, maintenance, curation, and analysis of data from high-throughput sequencing (HTS) projects and other projects that generate and complement genomic data.* Contributes to the design and interpretation of experimental projects and results.* Prepares data and reports for discussion, use and interpretation by investigators. Performs computational analysis include but not limited to statistical test, machine learning, and mathematical modeling. Prepares reports, presents findings in both oral presentation and paper writing.* Provides standard bioinformatics analyses, such as unsupervised clustering, differential expression, and data visualization, as well as applying more sophisticated algorithms for inference of cell state, gene regulatory networks, and cell-cell interactions.* Completes maintenance of computational pipelines, data management, and sharing, consulting with researchers on analytical methods and carrying out custom bioinformatics projects.* Other duties as assigned.**Minimum Education & Experience:*** Bachelor’s degree required* Master degree preferred* 1 year of relevant experience required or equivalent combination of education and experience required* Experience with genomics and bioinformatics in a clinical laboratory including setting up, testing and maintaining bioinformatics workflows required**Knowledge, Skills & Abilities:*** Demonstrated ability to achieve results in a deadline driven environment with multiple priorities and multiple stakeholders required* Ability to learn and deliver work to audience with varied backgrounds required* Experience/proficiency with python/java/C++/R, bash scripting, statistical programming using R or related tools, web-development, pipeline development, and database query SRA downloading and ability to prototype software solutions for data analysis and use of next generation sequencing tools such as STAR(solo), TopHat, DeSeq, BWA, GATK, minimap2 and others required. #J-18808-Ljbffr

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