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Postdoc Single Cell Rna Sequencing Analysis Jobs in Rochester, NY

University of Rochester

Research Scholar

Rochester, NY · On-site

Perform cell culture (mammalian cell lines, stem cells) * Learn and perform various imaging techniques including confocal microscopy and image analyses of time-lapse image sequences. * Contribute to ...

All JobsPostdoc Single Cell Rna Sequencing Analysis JobsPostdoc Single Cell Rna Sequencing Analysis Jobs in Rochester, NY

Postdoc Single Cell Rna Sequencing Analysis information

See Rochester, NY salary details

$5

$22

$28

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

As of Aug 20, 2026, the average hourly pay for postdoc single cell rna sequencing analysis in Rochester, NY is $22.02, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $24.42 per hour, depending on experience, location, and employer.

What does a postdoc in single cell RNA sequencing analysis do?

A Postdoc in Single Cell RNA Sequencing (scRNA-seq) Analysis specializes in analyzing gene expression data from individual cells. Their main responsibilities include processing raw sequencing data, performing quality control, identifying cell types or states, and interpreting biological insights from the data. They often develop or apply computational methods to handle large datasets, collaborate with experimental biologists, and present findings through publications or conferences. The ultimate goal is to understand cellular heterogeneity and uncover new biological mechanisms at the single-cell level.

What are the key skills and qualifications needed to thrive as a postdoc in single cell RNA sequencing analysis, and why are they important?

To thrive as a Postdoc in Single Cell RNA Sequencing Analysis, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a PhD in a relevant field. Proficiency with computational tools such as R, Python, and specialized single-cell analysis platforms (e.g., Seurat, Scanpy), as well as experience with data visualization and next-generation sequencing, is essential. Strong problem-solving abilities, effective communication, and collaboration skills help distinguish top candidates in interdisciplinary research environments. These skills enable accurate data interpretation, drive innovation, and support impactful scientific discoveries in complex biological systems.

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

Postdocs in single cell RNA sequencing analysis often encounter challenges such as managing large and complex datasets, integrating multi-omic data, and staying current with rapidly evolving bioinformatics tools. Collaborating closely with wet lab scientists and computational biologists is essential to interpret results accurately and to troubleshoot technical issues. Building strong programming and statistical skills, as well as actively participating in lab meetings and seminars, can help address these challenges and contribute to both personal growth and successful project outcomes.

What is the difference between Postdoc Single Cell Rna Sequencing Analysis vs Postdoc Bioinformatics?

AspectPostdoc Single Cell Rna Sequencing AnalysisPostdoc Bioinformatics
Required CredentialsPhD in Biology, Genetics, or related field; experience in sequencing data analysisPhD in Computer Science, Bioinformatics, or related field; programming skills essential
Work EnvironmentResearch labs focusing on genomics and cell biologyResearch institutions, biotech companies, or academic labs with computational focus
Employer & Industry UsageBiotech, academic research, pharmaceutical companiesBiotech, healthcare, academic research, industry R&D

Postdoc Single Cell Rna Sequencing Analysis specialists focus on analyzing single-cell transcriptomics data, often requiring biological expertise and lab experience. In contrast, Postdoc Bioinformatics roles emphasize computational skills and software development to interpret large datasets across various biological contexts. Both roles are vital in genomics research but differ in their primary focus and skill set.

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

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

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

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

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

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

Postdoc Single Cell Rna Sequencing Analysis jobs near you
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Rochester, NY as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,799 per year, or $22 per hour.

Assistant Professor, Bioinformatics Support

University of Rochester

Rochester, NY • On-site

Full-time

Re-posted 23 days ago

University Of Rochester rating

8.3

Company rating: 8.3 out of 10

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.

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