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Bioinformatics Data Engineer Jobs in Omaha, NE (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Omaha, NE · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

All JobsBioinformatics Data Engineer JobsBioinformatics Data Engineer Jobs in Omaha, NE

Bioinformatics Data Engineer information

See Omaha, NE salary details

$41.1K

$125.4K

$228.2K

How much do bioinformatics data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for bioinformatics data engineer in Omaha, NE is $125,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What are popular job titles related to Bioinformatics Data Engineer jobs in Omaha, NE?

For Bioinformatics Data Engineer jobs in Omaha, NE, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Engineer jobs in Omaha, NE look for?

The top searched job categories for Bioinformatics Data Engineer jobs in Omaha, NE are:

Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in Omaha, NE as of August 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $125,368 per year, or $60.3 per hour.

Bioinformatics Data Analyst

University of Nebraska Medical Center

Omaha, NE • On-site, Remote

$55K - $83K/yr

Full-time

Re-posted 18 days ago

University Of Nebraska Medical Center rating

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Company rating: 8.5 out of 10

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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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