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Postdoc Single Cell Rna Sequencing Analysis Jobs in Gary, IN

The University of Chicago

Research Technician

Chicago, IL · On-site

$24.04 - $33.65/hr

Next-Generation Sequencing, PCR, Quantitative RT-PCR, DNA/RNA purification, cloning, reporter gene ... single cell genomic assays. * Assist with general lab duties including ordering of supplies and ...

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Postdoc Single Cell Rna Sequencing Analysis information

See Gary, IN salary details

$5

$22

$28

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

As of Aug 15, 2026, the average hourly pay for postdoc single cell rna sequencing analysis in Gary, IN is $22.21, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $24.62 per hour, depending on experience, location, and employer.

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.
Postdoc Single Cell Rna Sequencing Analysis jobs near you
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Gary, IN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,189 per year, or $22.2 per hour.

Faculty Scientists - Digestive Diseases Translational Program #MED397

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 11 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

Description
The University of Chicago's Department of Medicine, Section of Gastroenterology, Hepatology, and Nutrition, is searching for faculty scientists at any rank, within the School of Medicine track, who will lead research contributing to the development of a translational program for digestive diseases. Appointees will develop a platform that complements and extends beyond the existing translational core. These positions will require coordinating the collection and processing of human biospecimens (biopsies, blood, stool, and isolated cells from blood and tissue biopsies). In addition, appointees will perform comprehensive immune profiling using techniques such as flow cytometry and single-cell RNA sequencing on human samples. Candidates will also guide other investigators in translational study design and facilitate recruitment as well as biospecimen collection for these studies. Other duties will include teaching, supervision of trainees and students, and relevant additional scholarly activity. Academic rank and compensation are dependent upon qualifications. These positions are benefits-eligible. 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.
Prior to the start of employment, qualified applicants must: 1) have a doctoral degree or equivalent.
We especially welcome applicants with experience in immunology and techniques of flow cytometry and single-cell RNA sequencing.
To be considered, those interested must apply through The University of Chicago's Academic Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/179809. Applicants must upload a CV including bibliography, cover letter, and research statement. Review of applications will continue until the positions are filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.

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