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Postdoc Single Cell Rna Sequencing Analysis Jobs in Wisconsin

wistar

Post-Doctoral Fellows - Veglia Lab

Institute, WI · On-site

$47K - $63K/yr

We are seeking two highly motivated postdoctoral fellows to investigate the mechanisms regulating ... Additional expertise in immunology, myeloid cell biology, CAR T cells, T cells, mouse models and ...

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 ...

New

Komatsu

5674 Operator - Shaping/Turning

Milwaukee, WI · On-site

$19.75 - $26/hr

Reviews Schedule on cell PC and determines next jobs to run and sequence. Secures drawing and ... Uses Probe to inspect, gather data, and analyze data, then acts on results. Determines tool set ...

Komatsu

5674 Operator - Shaping/Turning

Milwaukee, WI · On-site

$20.25 - $27.50/hr

Reviews Schedule on cell PC and determines next jobs to run and sequence. Secures drawing and ... Uses Probe to inspect, gather data, and analyze data, then acts on results. Determines tool set ...

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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.
What are popular job titles related to Postdoc Single Cell Rna Sequencing Analysis jobs in Wisconsin? For Postdoc Single Cell Rna Sequencing Analysis jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Postdoc Single Cell Rna Sequencing Analysis jobs in Wisconsin look for? The top searched job categories for Postdoc Single Cell Rna Sequencing Analysis jobs in Wisconsin are:
What cities in Wisconsin are hiring for Postdoc Single Cell Rna Sequencing Analysis jobs? Cities in Wisconsin 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 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.

Scientist, Computational Chemist & MLOps Engineer

Arrowhead Pharmaceuticals

Madison, WI • On-site

$100K - $125K/yr

Full-time

Re-posted 17 days ago

Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.

Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.

Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.

The Position

We are seeking a highly motivated computational scientist to join our research organization and contribute to machine learning–driven drug discovery efforts. This role will focus on data engineering, statistical modeling, bioinformatics, and scientific software development supporting internal therapeutic design programs. The ideal candidate combines strong quantitative reasoning with practical software engineering skills and is comfortable operating independently in a Linux-based research computing environment.

This position may be filled at the Scientist I - III level depending on experience and qualifications.

Responsibilities

  • Develop and apply statistical and machine learning models to experimental datasets
  • Design, maintain, and optimize scientific databases and data processing pipelines
  • Build reproducible computational workflows for bioinformatics and drug discovery applications
  • Analyze high-dimensional biological datasets and communicate findings to multidisciplinary teams
  • Contribute production-quality Python code and maintain version-controlled scientific software
  • Operate effectively in Linux/HPC environments, including remote systems and cloud-based infrastructure
  • Write clear, maintainable, and testable scientific code
  • Debug complex computational and data issues independently
  • Operate effectively in terminal/Linux-native workflows
  • Apply statistically rigorous thinking to experimental interpretation
  • Maintain reproducibility and software engineering discipline in research environments
  • Partner with scientists across biology, chemistry, bioinformatics, and computational research groups
  • Support development of internal computational platforms and modeling infrastructure
  • Document workflows, analyses, and software according to reproducible research standards
  • Mentor junior team members and contribute to technical best practices (Scientist II/III)

Requirements

Scientist I

  • Bachelor's or Master's degree in Bioinformatics, Biostatistics, Computational Biology, Computer Science, Data Science, Applied Mathematics, or related field
  • Strong programming experience in Python
  • Experience working in Linux command-line environments
  • Foundational understanding of statistics and machine learning methods
  • Experience handling structured and unstructured biological datasets
  • Familiarity with source control tools such as Git

Scientist III (In addition to the above)

  • Advanced degree (PhD preferred) or equivalent industry experience
  • Demonstrated history of leading computational projects independently
  • Strong background in applied statistics, predictive modeling, and experimental data interpretation
  • Experience mentoring scientists or leading technical initiatives
  • Ability to translate ambiguous scientific problems into robust computational solutions

Preferred

  • Experience with predictive modeling and/or deep learning methods
  • Familiarity with modern ML tooling and model evaluation methodologies
  • Experience in therapeutic design, RNA biology, genomics, or laboratory experience
  • Experience with bioinformatics workflows and sequence-based analysis
  • Experience working with large-scale biological or omics datasets
  • Experience with distributed computing systems
  • Experience operating in collaborative software development environments
Wisconsin pay range
$100,000—$125,000 USD

Arrowhead provides competitive salaries and an excellent benefit package.

Candidates must have current, valid authorization to work in the country where this role is located.

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