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Single Cell Rna Sequencing Phd Jobs in Rochester, NY

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

Jewelry Associate

Victor, NY · On-site

$16 - $16.50/hr

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

Jewelry Associate

Victor, NY · On-site

$16 - $16.50/hr

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

Single Cell Rna Sequencing Phd information

See Rochester, NY salary details

$18

$35

$49

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

As of Jun 10, 2026, the average hourly pay for single cell rna sequencing phd in Rochester, NY is $35.04, according to ZipRecruiter salary data. Most workers in this role earn between $28.70 and $39.86 per hour, depending on experience, location, and employer.

What is a Single Cell RNA Sequencing PhD?

A Single Cell RNA Sequencing PhD is a doctoral degree focused on the study and application of single-cell RNA sequencing (scRNA-seq) technologies. This field involves analyzing the gene expression profiles of individual cells, allowing researchers to understand cellular heterogeneity and complex biological processes at a granular level. PhD students in this area typically conduct original research, develop computational methods, and advance our understanding of cell biology, disease mechanisms, and potential therapeutic targets. Graduates often pursue careers in academia, biotechnology, or pharmaceutical research.

What is the difference between Single Cell Rna Sequencing Phd vs Single Cell Data Analyst?

AspectSingle Cell Rna Sequencing PhdSingle Cell Data Analyst
Required CredentialsPhD in Biology, Genetics, or related fieldBachelor's or Master's in Data Science, Biology, or related field
Work EnvironmentResearch labs, biotech companies, academic institutionsBiotech firms, research organizations, healthcare companies
Industry UsageDesigning experiments, interpreting sequencing data, publishing researchAnalyzing sequencing datasets, creating reports, data visualization

The Single Cell Rna Sequencing Phd typically involves designing experiments and interpreting complex sequencing data, requiring advanced research skills. In contrast, a Single Cell Data Analyst focuses on analyzing datasets, generating insights, and visualizing data, often with less emphasis on experimental design. Both roles are vital in the biotech industry but differ in their focus and required expertise.

What are some common challenges faced by researchers in a Single Cell RNA Sequencing PhD role, and how can they be addressed?

One of the main challenges in a Single Cell RNA Sequencing PhD role is managing and interpreting large, complex datasets generated from single-cell experiments. Researchers must be proficient in both wet-lab techniques and bioinformatics analysis, often requiring collaboration with computational biologists. Another challenge is ensuring sample quality and minimizing technical variability, which can significantly impact data reliability. Staying updated with rapidly evolving sequencing technologies and analytical tools is crucial, as is developing strong problem-solving skills to troubleshoot experimental or computational issues.

What are the key skills and qualifications needed to thrive as a Single Cell RNA Sequencing PhD, and why are they important?

To thrive as a Single Cell RNA Sequencing PhD, you need a strong background in molecular biology, bioinformatics, and genomics, typically supported by a PhD in a relevant field. Proficiency with single-cell sequencing platforms (e.g., 10x Genomics), next-generation sequencing (NGS) technologies, and computational analysis tools like R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating within multidisciplinary teams. These skills and qualifications are vital for designing robust experiments, analyzing high-dimensional data, and translating findings into impactful biological insights.
What are popular job titles related to Single Cell Rna Sequencing Phd jobs in Rochester, NY? For Single Cell Rna Sequencing Phd jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Single Cell Rna Sequencing Phd jobs in Rochester, NY look for? The top searched job categories for Single Cell Rna Sequencing Phd jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Single Cell Rna Sequencing Phd jobs? Cities near Rochester, NY with the most Single Cell Rna Sequencing Phd job openings:
Assistant Professor, Bioinformatics Support

Assistant Professor, Bioinformatics Support

University of Rochester

Rochester, NY • On-site

Full-time

Posted 12 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

95th of 535 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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