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Postdoc Single Cell Rna Sequencing Analysis Jobs in Wisconsin

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 - Sarma Lab

Institute, WI · On-site

$47K - $63K/yr

A Postdoctoral Fellow position is available in the laboratory of Dr. Kavitha Sarma. The Sarma lab ... Experience in performing and analyzing data from genomic experiments such as RNA-seq, ChIP-seq, CUT ...

wistar

Post-Doctoral Fellow - Wu Lab

Institute, WI

$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 ...

Versiti, Inc.

Postdoctoral Fellow - Sundd Lab

Wauwatosa, WI · On-site

$48K - $65K/yr

... single cell transcriptomics, and other molecular biology and biochemistry techniques. Strong ... Strong detail orientation and analytical ability. required * Excellent problem solving skills ...

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Postdoc Single Cell Rna Sequencing Analysis information

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.
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Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Wisconsin as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Post-Doctoral Fellow (Computational Biology) - Srivastava Lab

wistar

Institute, WI

$47K - $63K/yr

Full-time

Re-posted 29 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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