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Postdoc Single Cell Rna Sequencing Analysis Jobs in Warren, MA

UMass Med School

Post Doc (0)

Worcester, MA · On-site

$62K/yr

... postdoctoral research position supported by long-term NIH R37 grant funding is available in the ... single cell and spatial transcriptomic approaches. (2) Determine the impact of age-related ...

UMass Med School

Research Associate I

Worcester, MA · On-site

$43K/yr

The research projects will involve mammalian cell culture, RNA transfection, reporter assays, qPCR ... Perform laboratory experiments and may be responsible for a single research project * Utilize all ...

UMass Med School

Post Doc - Open Rank

Worcester, MA · On-site

$75K/yr

Postdoctoral Associate will be responsible for designing CAR Tregs for modulating immune responses ... to analyze data from experiments, that includes next-generation sequencing data, flow cytometry ...

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Postdoc Single Cell Rna Sequencing Analysis information

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

As of Aug 12, 2026, the average hourly pay for postdoc single cell rna sequencing analysis in Warren, MA is $23.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $25.67 per hour, depending on experience, location, and employer.

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 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 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 cities near Warren, MA are hiring for Postdoc Single Cell Rna Sequencing Analysis jobs? Cities near Warren, MA 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 Warren, MA as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,092 per year, or $23.1 per hour.

Post Doc (0)

UMass Med School

Worcester, MA • On-site

$62K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Post Doc (0)
Minimum Salary US-MA-Worcester
Job Location 4 days ago(8/7/2026 1:57 PM)
Requisition Number 2026-50214 # of Openings 1 Posted Date Day Shift Exempt Exempt/Non-Exempt Status Non Union Position-W63-Residents/Post Docs Position Type Full-Time Min USD $62,232.00/Yr. Max USD $62,232.00/Yr.
Additional Information

Identifying mechanisms and therapeutic targets of stromal senescence in prostate cancer development

A postdoctoral research position supported by long-term NIH R37 grant funding is available in the laboratory of Marcus Ruscetti, Ph.D. to work on projects to:

(1) Uncover heterogeneous senescent cell types and immune cell niches that promote tumor progression using single cell and spatial transcriptomic approaches.

(2) Determine the impact of age-related senescence on prostate cancer onset and immune suppression.

These projects, and my laboratory, lie at the intersection of cancer genetics and tumor immunology, and at the interface of basic science and translational medicine. Our long-term goals will be to translate our basic understanding of how senescence biology regulates critical tumor-immune interactions into the development of therapeutic strategies to treat patients with deadly pancreatic and prostate cancers.

Our lab is part of the Department of Molecular, Cell and Cancer Biology (MCCB) at the University of Massachusetts Chan Medical School (UMCMS) in Worcester, MA, giving us access to a multitude of state-of-the-art core facilities, shared equipment, and a highly stimulating and interactive intellectual environment. UMCMS is a vibrant and exciting research community, with ~3,000 faculty, including ~320 basic science principal investigators and ~2,500 clinical faculty. The UMCMS faculty includes members of the National Academy of Sciences, the Howard Hughes Medical Institute, and the American Academy of Arts and Sciences. UMCMS faculty have won several major awards, including the Keck Award, the Lasker Prize, and the Nobel Prize in Physiology or Medicine, among others.

Qualifications:

Candidates are required to have the following credentials:

    A recent Ph.D. and/or M.D. degree in Biology, or a related field, with no more than 1 year of postdoctoral experience
  • A 1st author publication in a peer-reviewed scholarly journal from their Ph.D. and/or M.D. research
  • Previous mouse experience (at least 1 year)
  • A prior background in cancer biology
  • Technical proficiency in cell culture and molecular biology techniques

Candidates with the following qualifications are encouraged to apply:

(1) Strong self-motivation

(2) Ability to collaborate within and outside the laboratory

(3) Ability to plan, organize and meet deadlines

(4) Ability to independently develop, execute, and analyze experiments

(5) Experience in genome-editing technologies, histology, microscopy, immunology, flow cytometry, and high-

throughput sequencing.

To apply, please send your cover letter (1-page limit) explaining your most significant accomplishments and how they relate to our work and CV to Dr. Marcus Ruscetti.

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