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Single Cell Rna Sequencing Jobs in Chicago, IL (NOW HIRING)

Research Technician

Chicago, IL · On-site

$18.50 - $25.50/hr

With a focus on CAR T-cell therapy for lymphoma and melanoma TIL therapy, our work has a ... PCR, next-generation sequencing (DNA/RNA/ATAC-seq), reporter gene assays, Western blot ...

Our recent work revealed that an epitranscriptomic process known as RNA editing, is abnormally ... cell culture, in addition to gaining expertise in the broader area of stress Neurobiology. Our ...

... sequencing (NGS) and multimodal data to detect oncology related biomarkers (SNV/indel/CNV ... Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ...

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

Part Time Jewelry Associate

Hinsdale, IL · On-site

$15 - $15.50/hr

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

Showing results 21-34

Single Cell Rna Sequencing information

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

As of Aug 13, 2026, the average hourly pay for single cell rna sequencing in Chicago, IL is $22.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $27.98 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 Chicago, IL? For Single Cell Rna Sequencing jobs in Chicago, IL, the most frequently searched job titles are:
What cities near Chicago, IL are hiring for Single Cell Rna Sequencing jobs? Cities near Chicago, IL with the most Single Cell Rna Sequencing job openings:
Infographic showing various Single Cell Rna Sequencing job openings in Chicago, IL as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $46,378 per year, or $22.3 per hour.

Computational Biologist

The University of Chicago

Chicago, IL • On-site

$60K - $80K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities


Job description

Department
BSD MED - Genetic Medicine - Im Research Staff
About the Department
The Section of Genetic Medicine shape the future of personalized medicine with successful research programs focused on the quantitative genetic and genomic science. The Section provides extremely valuable collaborations with investigators in the Department of Medicine who are seeking to develop new and more powerful ways to identify genetic risk factors for common, complex disorders with almost immediate clinical application.
The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.
Job Summary
We are seeking a lifelong learner interested in developing statistical and computational tools to sift through large amounts of data to make discoveries that can improve human health. The Computational Biologist will contribute to the development and application of statistical and computational tools across NIH-funded projects, integrating large-scale GWAS with metabolomics data to uncover mechanisms underlying complex diseases and developing polygenic risk scores that transfer genetic signals across human populations and model organisms to study addiction-related traits, COPD, type 2 diabetes, and other common diseases.
Responsibilities
  • Analyze large-scale genomic datasets including RNA-seq, whole genome sequence, and single-cell data.
  • Develop and apply statistical and computational methods to extract biological insights from high-dimensional data.
  • Develop and train deep learning models to improve upon traditional statistical methods in genomics.
  • Collaborate with disease and genomics experts to address pressing biomedical research questions.
  • Write and contribute to scientific publications and present findings at lab and consortium meetings.
  • Help train and mentor students in the lab.
  • Applies research principles and relevant subject matter knowledge relevant to administer a research project. With a moderate level of direction, manages lab and/or research-related duties and tasks. Helps develop, design and conduct research projects according to plan.
  • Takes responsibility for the following laboratory duties: recognizing abnormal results and varying conditions or procedures to correct problems; setting up and performing experiments. Analyze the meaning, significance, causes, and effects of the subject.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Education:
  • Master's or doctoral degree in computational biology, bioinformatics, statistics, physics, or other quantitative disciplines with an interest in applying skills to biomedical research.

Experience:
  • Experience with deep learning in genomics and large language models.
  • Experience with large datasets, distributed computing, and databases.
  • Reproducible research tools and workflows (GitHub, Snakemake, Nextflow).
  • Proficiency in R and/or Python.

Preferred Competencies
  • Strong Analytical skills.
  • Problem-solving skills.
  • Organizational skills.
  • Verbal and written communication skills.
  • Ability to work independently and as part of a team
  • Willingness to explore and adopt new ideas and technologies.
  • Analytical, statistical, quantitative, and computational/programming skills.

Application Documents
  • Resume (required)
  • Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$60,000.00 - $80,000.00
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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