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Postdoc Single Cell Rna Sequencing Analysis Jobs in Nebraska

Research and Testing Laboratory

Knowledge of DNA/RNA Sequencing applications (current and emerging), and related data formats, file types, data footprints, and typical analysis methods and use cases * Good knowledge of cloud ...

Tenneco

Ops Lead 1

Seward, NE

Conduct and/or coordinate training for associates within the cell. * Ensure build sequence and ... Strong analytical problem-solving, facilitation, and decision-making abilities. * Demonstrated ...

Tenneco

Ops Lead 1

Seward, NE · On-site

Conduct and/or coordinate training for associates within the cell. * Ensure build sequence and ... Strong analytical problem-solving, facilitation, and decision-making abilities. * Demonstrated ...

The Farmer's Dog

Food Science Associate

Omaha, NE · On-site

$13.50 - $17.50/hr

We don't think of ourselves as "Acquisition Marketers", "Engineers", "Data Analysts", or "Product ... To that end, we seek to work in sequence and not in parallel. We constantly ask ourselves, "what ...

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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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Postdoc Single Cell Rna Sequencing Analysis jobs near you
Postdoctoral Research Associate

Postdoctoral Research Associate

University of Nebraska Medical Center

Omaha, NE • On-site

Full-time

Posted 9 days ago

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

52nd of 1,020 rated hospitals

Job description

Requisition Details
GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location
Omaha, NE
Requisition Number:
2026 - 254
Department
Biochem and Molecular Biology 50000510
Business Unit(College/Institute)
College of Medicine
FTE:
100
Reg-Temp
Full-Time Regular
Work Schedule
TBD
Requisition Category
Research - Academic
Requisition Title
Postdoctoral Research Associate
Job Title/Academic Rank
Postdoctoral Research Associate
Additional Requisition Title
Appointment Type
A1 - REG OTHER ACAD SAL
Salary Range
Salary Commensurate with Experience
Job/EEO Category
Professional Non-Faculty (Includes Other Academic)
Job Requisition Begin Date
06/19/2026
Position Qualification
Position Summary
A postdoctoral position currently available in the Biochemistry and Molecular Biology Department at the University of Nebraska Medical Center broadly focused on comparative interactomics in human health and disease.
The potential candidate is expected to enact experimental workflows including the development of model cell lines, executing affinity 'omics, and integrative analysis of combined results.
Required Qualifications
• PhD degree in Biochemistry, Molecular Biology, or a related field in Life sciences.
• Extensive experience with molecular interactions analysis.
Publications as the first author in peer-reviewed journals.
Supplemental Qualifications
• Ideally 2-3 years of relevant hand on research experience.
• Strong background in proteomics and/or nucleic acids biochemistry.
Competence with bioinformatics programming in R

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