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Single Cell Core Jobs in Brussels, WI (NOW HIRING)

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Single Cell Core information

See Brussels, WI salary details

$12

$21

$29

How much do single cell core jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for single cell core in Brussels, WI is $21.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $26.49 per hour, depending on experience, location, and employer.

What is a single cell core?

A Single Cell Core is a specialized facility within a research institution that provides expertise, equipment, and services for single-cell genomics and related technologies. These cores support researchers in isolating, processing, and analyzing individual cells to better understand cellular heterogeneity in complex tissues. Services may include single-cell RNA sequencing, library preparation, data analysis, and consultation. Single Cell Cores are essential for advancing research in fields such as cancer biology, immunology, and developmental biology.

What are the key skills and qualifications needed to thrive as a single cell core specialist?

To thrive as a Single Cell Core specialist, you need a strong background in molecular biology, genomics, and experience with single-cell sequencing techniques, often supported by an advanced degree in a life science field. Familiarity with technical tools such as flow cytometry, next-generation sequencing platforms, and data analysis software like Seurat or Cell Ranger is essential. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for collaborating with researchers and ensuring high-quality results. These competencies are crucial for generating reliable data, facilitating cutting-edge research, and advancing scientific discoveries in the field.

What are some common challenges faced by professionals working in a single cell core facility, and how can new team members prepare for them?

Professionals in a Single Cell Core facility often encounter challenges such as troubleshooting complex instrumentation, managing large volumes of high-dimensional data, and ensuring sample quality throughout the workflow. New team members can prepare by developing strong technical skills in single cell platforms (like 10x Genomics or Fluidigm), familiarizing themselves with bioinformatics tools, and cultivating effective communication with researchers to understand experiment goals. Working collaboratively within a multidisciplinary team and staying current with emerging single cell technologies will also help overcome these challenges and contribute to the core’s success.

What is the difference between Single Cell Core vs Single Cell Technician?

AspectSingle Cell CoreSingle Cell Technician
CredentialsTypically requires a bachelor's degree in biology, biotechnology, or related fieldsUsually requires a similar degree or certification in laboratory techniques
Work EnvironmentResearch laboratories, biotech companies, academic institutionsLaboratories, research facilities, biotech companies
Job FocusProviding core services for single cell analysis, data processing, and sample preparationPerforming technical procedures, sample handling, and data collection

The Single Cell Core generally refers to a facility or service providing specialized single cell analysis support, while a Single Cell Technician is an individual performing technical tasks within that environment. Both roles require similar educational backgrounds and work in comparable settings, but the Core often oversees multiple technicians and manages core services.

Single Cell Core jobs near you
Infographic showing various Single Cell Core job openings in Brussels, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $43,945 per year, or $21.1 per hour.

Post-Doctoral Fellow (Computational Biology) - Srivastava Lab

wistar

Institute, WI

$47K - $63K/yr

Full-time

Re-posted 25 days ago

Key responsibilities

  • Develop algorithms and software for single-cell long-read RNA sequencing platforms, including isoform-level quantification and multi-omics data integration.

  • Build and release computational tools, packages, pipelines, or algorithms that are adopted by others.

  • Co-design wet-lab-facing methods in collaboration with the laboratory team, focusing on computational method development.

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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