ZipRecruiter

Log In

1

Postdoc Single Cell Rna Sequencing Analysis Jobs

University of California San Francisco

SRA 1

San Francisco, CA · On-site

$41.50 - $52/hr

Experience in R Studio and/or Python to analyze single-cell RNA sequencing, bulk RNA sequencing, and whole-exome sequencing data * Experience in molecular biology techniques such as sgRNA cloning and ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

We are seeking a motivated postdoctoral researcher in the area of Computational Genomics in Lung ... analysis, more specifically bulk/single cell RNA-sequencing and WES. They will be a part of a ...

previous page

Showing results 41-60

All JobsPostdoc Single Cell Rna Sequencing Analysis Jobs

Postdoc Single Cell Rna Sequencing Analysis information

See salary details

$5

$22

$29

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

As of Aug 9, 2026, the average hourly pay for postdoc single cell rna sequencing analysis in the United States is $22.32, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 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.
More about Postdoc Single Cell Rna Sequencing Analysis jobs
What cities are hiring for Postdoc Single Cell Rna Sequencing Analysis jobs? Cities with the most Postdoc Single Cell Rna Sequencing Analysis job openings:
What states have the most Postdoc Single Cell Rna Sequencing Analysis jobs? States with the most job openings for Postdoc Single Cell Rna Sequencing Analysis jobs include:
What job categories do people searching Postdoc Single Cell Rna Sequencing Analysis jobs look for? The top searched job categories for Postdoc Single Cell Rna Sequencing Analysis jobs are:
Postdoc Single Cell Rna Sequencing Analysis jobs near you
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,417 per year, or $22.3 per hour.

Post Doctoral.Post Doctoral.Associate

University of Pittsburgh

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 12 days ago

Job description

The Gadani Lab is a new translational neuroimmunology group interested in mechanisms underlying progressive multiple sclerosis, glial cell reactivity, and regulatory T cell biology. Our work spans mouse models of CNS autoimmunity, single-cell and spatial genomics, multiplex tissue imaging, and analysis of human patient samples, with the goal of moving findings from mechanism to clinical application. The lab is located within the Pittsburgh Institute for Neurodegenerative Diseases (PIND) and embedded within the larger Pitt neuroscience and immunology communities.

About the Position

We are seeking a postdoc to lead research on Treg-glia interactions in the nervous system. This is a funded postdoctoral position to lead a hypothesis-driven project at the intersection of CNS immunology, glial biology, and translational MS research. The postdoc will take ownership of a primary line of investigation, including data interpretation, hypothesis refinement, and experimental design/planning with the aim of publishing an impactful first author manuscript. Postdocs will join a vibrant neuroscience and neuroimmunology community and have opportunities to develop collaborations. We are committed to training the next generation of independent investigators. Postdocs in the lab will be mentored toward strong first-author publications, F32 and K99 applications, and successful transitions to faculty or industry positions.

Primary Responsibilities

        Lead a primary research project, including experiment design and planning, data collection and analysis, and manuscript preparation.

        Apply and develop techniques relevant to your project, including flow cytometry of CNS populations, single-cell RNA sequencing, multiplex immunohistochemistry, EAE and other relevant animal models, and primary cell culture

        Present findings at major meetings

        Develop and submit individual fellowship applications with hands-on grantsmanship mentoring from the PI

        Help mentor students and share in the day-to-day intellectual and operational functions of the lab, including stewardship of the mouse colony, promotion of safe lab practices, and contributing to lab meetings / journal clubs

Qualifications

        PhD, MD/PhD, or MD with substantial research experience in immunology, neuroscience, cell biology, or a related field. Both recent graduates and candidates pursuing a second postdoc are encouraged to apply

        A track record of productivity commensurate with career stage, typically including one or more first-author publications or preprints

        Demonstrated technical experience in mouse models of CNS or autoimmune disease is preferred, and hands-on experience with flow cytometry, single-cell or spatial transcriptomics, and fluorescence or confocal microscopy would be beneficial

        Scientific curiosity and the discipline to follow projects through to publication.

        Strong written and oral communication skills, and the ability to work both independently and collaboratively

What We Offer

        Competitive postdoctoral salary and full benefits

        A well-resourced environment with access to Pitt and UPMC core facilities for flow cytometry, imaging, sequencing, and biostatistics

        Regular collaboration with practicing MS neurologists and access to human patient samples for the translational arms of the work

        Active mentoring in research, grant writing, manuscript preparation, public speaking, and career development for roles in academia or industry

        A collaborative neuroscience ecosystem across Pitt and Carnegie Mellon, in a city with a low cost of living and high quality of life

        Visa sponsorship available for qualified international candidates

When applying, please use requisition #26004589 at this link: Home | Talent Center: Careers at Pit | University of Pittsburgh

Apply