ZipRecruiter

Log In

1

Postdoc Single Cell Rna Sequencing Analysis Jobs in Madison, WI

Bruker

Automation Chemist

Middleton, WI · On-site

$125K/yr

Bruker's high performance scientific instruments and high value analytical and diagnostic solutions ... spatial and single-cell biology, structural and condensate biology, as well as in clinical ...

next page

Showing results 1-20

All JobsPostdoc Single Cell Rna Sequencing Analysis JobsPostdoc Single Cell Rna Sequencing Analysis Jobs in Madison, WI

Postdoc Single Cell Rna Sequencing Analysis information

See Madison, WI salary details

$5

$22

$29

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

As of Aug 20, 2026, the average hourly pay for postdoc single cell rna sequencing analysis in Madison, WI is $22.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $24.95 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Postdoc Single Cell Rna Sequencing Analysis jobs in Madison, WI?

For Postdoc Single Cell Rna Sequencing Analysis jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Postdoc Single Cell Rna Sequencing Analysis jobs in Madison, WI look for?

The top searched job categories for Postdoc Single Cell Rna Sequencing Analysis jobs in Madison, WI are:

What cities near Madison, WI are hiring for Postdoc Single Cell Rna Sequencing Analysis jobs?

Cities near Madison, WI 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 Madison, WI as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,771 per year, or $22.5 per hour.

Postdoctoral Research Associate - Fan Lab

The Morgridge Institute for Research

Madison, WI

Full-time

Re-posted 29 days ago

Job description

Description

The Fan lab at Morgridge Institute for Research and University of Wisconsin-Madison is seeking a highly motivated postdoctoral fellow to study the metabolism of macrophages and neutrophils. The successful candidate will join a dynamic, interdisciplinary team investigating the dynamic metabolic regulation during immune cell activation and how metabolic pathways influence immune cell function.


Key Responsibilities:

  • Design and conduct experiments to characterize metabolic remodeling coupled to immune response and mechanistically investigate metabolism-function connections in macrophages and neutrophils
  • Employ cellular, molecular, and biochemical approaches, including genome editing (CRISPR/Cas9), metabolomics and isotopic tracing, immune function essays, transcriptomic analyses etc.
  • Analyze data, interpret results, and prepare manuscripts and presentations.
  • Collaborate with team members and contribute to ongoing lab projects.
  • Potentially mentor junior graduate or undergraduate trainees as needed.

Requirements

  • Ph.D. in Biochemistry, molecular biology, cell biology or a related field (completed or near completion).
  • Strong background in immunology and cell metabolism preferred.
  • Demonstrated skills in some of the relevant areas including molecular biology, immune cell function profiling, genetics, or omics-based techniques.
  • Familiarity to establish mouse model for inflammatory conditions is a plus
  • Excellent communication, organization, and teamwork abilities.
  • Scientific rigor and critical thinking skills
  • Record of scholarly productivity with peer-reviewed publications.


To apply, please submit the following materials via our website:

  1. Cover letter describing your research experience and career goals
  2. Curriculum vitae
  3. Names and contact information for three references

Applications will be reviewed on a rolling basis until the position is filled. Start date is flexible, with Fall 2026 preferred.


Apply