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Single Cell Rna Sequencing Jobs in Wisconsin (NOW HIRING)

wistar

Visiting Scientist - Price Lab

Institute, WI · On-site

... infected cell, and ways in which viruses evade detection by the cellular innate immune system ... Experience with either RNA sequencing, third generation long-read sequencing technologies (Oxford ...

wistar

Post-Doctoral Fellow - Wu Lab

Institute, WI · On-site

$47K - $63K/yr

... sequencing. Strong expertise with single cell assays, epigenetic assays, and/or bioinformatics (familiarity with operating within Unix systems and experience with Python/R) is highly desirable. A PhD ...

wistar

Staff Scientist - McGinnis Lab

Institute, WI · On-site

... single-cell genomics modalities to interrogate mechanisms of pro-metastatic immune remodeling ... sequencing. Interested individuals should complete the application through this page. In addition ...

Abbott

Sr. Clinical Curation Scientist

Marshfield, WI

  • Medical

  • Life

  • Retirement

Demonstrated understanding of cancer genomics, signal transduction pathways, cancer cell biology, targeted therapeutics, and whole genome, exome, and/or RNA-sequencing. * Demonstrated ability to ...

New

Muth Company

Engineering Program Manager

Sheboygan, WI · On-site

$110 - $150/hr

  • Life

  • Retirement

  • PTO

... sequencing, and coordinating engineering resources and deliverables; facilitating technical ... Coordinate with Manufacturing on line/cell readiness, staffing, training needs, and production ...

All JobsSingle Cell Rna Sequencing JobsSingle Cell Rna Sequencing Jobs in Wisconsin

Single Cell Rna Sequencing information

See Wisconsin salary details

$12

$21

$30

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

As of Aug 15, 2026, the average hourly pay for single cell rna sequencing in Wisconsin is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $27.40 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Single Cell Rna Sequencing jobs in Wisconsin?

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

What job categories do people searching Single Cell Rna Sequencing jobs in Wisconsin look for?

The top searched job categories for Single Cell Rna Sequencing jobs in Wisconsin are:

Single Cell Rna Sequencing jobs near you
Infographic showing various Single Cell Rna Sequencing job openings in Wisconsin as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $45,442 per year, or $21.8 per hour.

Post-Doctoral Fellow (Computational Biology) - Srivastava Lab

wistar

Institute, WI • On-site

$47K - $63K/yr

Full-time

Re-posted 2 days ago

Job description

The Wistar Institute has an opening for a Computational Biology Post-Doctoral Fellow to join the laboratory of Dr. Avi Srivastava. The Srivastava Lab is a hybrid computational-experimental group that develops and applies cutting-edge single-cell genomics technologies to address fundamental questions in RNA biology and cancer. Our work spans the full arc from novel method development, including microfluidics-free single-cell long-read RNA sequencing platforms, to biological discovery using multi-omics approaches at single-cell resolution.

We are seeking a computational methods developer, someone who builds tools, not only runs pipelines. In this role, you will develop the algorithms and software behind our single-cell long-read platform, including isoform-level quantification methods and multi-omics integration for disease-relevant single-cell data. You should be able to point to software, a method, or an algorithm you built that other people use. Familiarity with sequencing library prep and the molecular biology of the platform is a strong plus, and you will co-design the platform alongside our wet-lab team, but the core of this role is computational methods and software development. A wet-lab scientist looking to transition primarily into computational work is not the target for this position.

Required qualifications:

  • Ph.D. (or equivalent) in computational biology, genomics, computer science, bioinformatics, or a related quantitative field.
  • Demonstrated ability to build and release computational methods: a tool, package, pipeline, or algorithm that others have adopted, with source code you can show.
  • Strong programming and software-engineering skills in Python and/or R in a Linux/command-line environment.
  • Experience with single-cell and/or long-read sequencing data (Oxford Nanopore, PacBio) and their computational workflows.
  • At least one first-author peer-reviewed publication.

Preferred:

  • Hands-on familiarity with molecular biology and sequencing library preparation, enough to co-design wet-lab-facing methods.
  • Experience with isoform-level transcriptomics, alternative splicing, or transcript quantification.
  • High-performance and reproducible software practice (containers, version control, workflow managers).

The lab offers mentored training in single-cell and bulk multi-omics analysis, long-read sequencing technologies, novel microfluidics-free single-cell platform development, and cancer and RNA biology applications of single-cell methods.

In addition to applying online, interested applicants should e-mail their CV with publication list (published and in preparation), a cover letter detailing their research experience and interest in the lab, and three references to Dr. Avi Srivastava at asrivastava@wistar.org.

For more details on research and a list of publications, visit: https://pubmed.ncbi.nlm.nih.gov/?term=avi+srivastava

The Wistar Institute is in the University City area of Philadelphia, in the heart of the University of Pennsylvania campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting-edge, collaborative research and to work in outstanding intellectual environments and state-of-the-art facilities.

We offer a competitive salary and an excellent benefits package.

For more information about The Wistar Institute, visit www.wistar.org.

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