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Omics Remote Jobs in Nebraska (NOW HIRING)

Omics Remote information

What does an Omics Remote do?

An Omics Remote job typically involves analyzing and interpreting large-scale biological data sets such as genomics, proteomics, or metabolomics from a remote location. Professionals in this field use specialized bioinformatics tools and computational methods to extract meaningful insights from complex biological data. These roles often require collaboration with researchers, data scientists, and healthcare professionals, and may involve tasks like data processing, quality control, and scientific reporting. Working remotely in omics offers flexibility and the opportunity to contribute to cutting-edge research from anywhere in the world.

What skills and qualifications are needed to thrive as an Omics Remote?

To thrive as an Omics Remote Specialist, you need expertise in genomics, transcriptomics, or proteomics, typically supported by an advanced degree in a life science field. Familiarity with bioinformatics tools, data analysis platforms like R or Python, and experience with omics databases are essential. Strong analytical thinking, attention to detail, and effective remote communication skills help distinguish top performers. These abilities are crucial for accurate data interpretation, collaboration across distributed teams, and driving impactful research outcomes.

What are common challenges faced by professionals working remotely in omics roles, and how can they be addressed?

Working remotely in omics roles often involves managing large datasets, collaborating with interdisciplinary teams, and maintaining effective communication across different time zones. Challenges can include ensuring secure data sharing, overcoming potential feelings of isolation, and staying updated with rapidly evolving technologies. To address these, professionals should leverage collaborative tools for project management, schedule regular video meetings to foster team cohesion, and participate in online training or professional networks to stay connected to industry advancements.

What is the difference between Omics Remote vs Bioinformatics Technician?

AspectOmics RemoteBioinformatics Technician
Required CredentialsBachelor's degree in biology, genetics, or related field; experience with omics dataBachelor's degree in bioinformatics, biology, or related field; familiarity with bioinformatics tools
Work EnvironmentRemote, often project-based or freelanceLaboratory or office setting, sometimes remote for data analysis tasks
Employer & Industry UsageResearch institutions, biotech companies, remote research projectsResearch labs, biotech firms, healthcare organizations

Omics Remote and Bioinformatics Technicians both work with biological data, but Omics Remote typically involves remote, project-based roles focusing on omics data analysis, while Bioinformatics Technicians often work in lab or office settings with a focus on bioinformatics tools and data management.

What are popular job titles related to Omics Remote jobs in Nebraska?

For Omics Remote jobs in Nebraska, the most frequently searched job titles are:

What cities in Nebraska are hiring for Omics Remote jobs?

Cities in Nebraska with the most Omics Remote job openings:

Infographic showing various Omics Remote job openings in Nebraska as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Bioinformatics Data Analyst

University of Nebraska Medical Center

Omaha, NE • On-site, Remote

$55K - $83K/yr

Full-time

Re-posted 21 days ago


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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:
Staff_14859
Department
Pharmacology/Exp Neuroscience 50000523
Business Unit
College of Medicine
Reg-Temp
Full-Time Regular
Work Schedule
TBD by Research Needs
Remote/Telecommuting
No remote/telecommuting opportunity
Position Summary
Responsible for providing assistance with bioinformatic analysis and programming support for Omics analysis, which include transcriptomics, proteomics, and metabolomics data analysis. Specifically, involved in Single cell RNA and ATAC seq data analysis, Microbiome analysis and other bioinformatics analysis as needed for the projects to enhancing translational research under the direction of supervisor.
Support spatial profiling analysis (Visium HD, Xenium, CosMx). Ensure data integrity, track metadata, standardize analysis pipelines and provide interpretation of results. This will include carrying out very large-scale sequence data management and analysis procedures in close and writing resulting data for manuscripts/grants.
Also, may perform basic lab techniques such as DNA/RNA isolation, submitting for data/sequencing data/omics data to appropriate resources. Generate publications ready figures, methods sections, and results for manuscripts, presentations, and grant applications. Able to apply machine learning and AI based tools for in silico drug development studies.
Position Details
Additional Information
Posting Category
Research - Non Academic
Working Title
Bioinformatics Data Analyst
Job Title
Data Coordinator L2
Salary Grade
RA22S
Appointment Type
B1 - REG MGR PROF SALARY
Salary Range
$55,400 - $83,100/annual
Job Requisition Begin Date
07/13/2026
Application Review Date
07/20/2026
Review Date Information:
Initial application review will begin on the date provided in the field above. Applications received prior to this review date will be considered. Applications received after the review date may be considered.
Required and Preferred Qualifications
Required Education:
Bachelor's degree
If any degree major/training is required, please specify the type. (NOTE: Concentration and minors are not equivalent to a major)
Computer Science, Bioinformatics or related Quantitative/Biomedical Discipline
(Will consider additional related post high school education in lieu of required experience)
Required Experience
2 years
If any experience is required, please specify what kind of experience:
Experience with scientific data analysis, data management to include experience with quantitative/biomedical discipline.
(Will consider additional related post high school education in lieu of required experience)
Required License
No
If yes, what is the required licensure/certification?
Required Computer Applications:
Microsoft Excel, Microsoft Word, Microsoft PowerPoint
Required Other Computer Applications:
Adobe Suite
Required Additional Knowledge, Skills and Abilities:
General experience with the Linux/Gnu operating system and utilities. General experience with scripting or compiled programming languages (e.g., BASH shell scripting, Python, Perl, Ruby, Java, Mono)
Preferred Education:
Master's degree or equivalent
If any degree/training is preferred, please specify the type:
Relevant coursework/specialized training or equivalent
Preferred Experience:
Bioinformatics data analysis or related experience
Prefer progress towards or completion of a relevant Master's degree.
Preferred License:
No
If yes, what is the preferred licensure/certification?:
Preferred Computer Applications:
Microsoft Access
Preferred Other Computer Applications:
Preferred Additional Knowledge, Skills and Abilities:
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