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Biomedical Data Engineer Jobs in Oklahoma (NOW HIRING)

Biomedical Equipment Manager

Tulsa, OK · On-site

$99K - $124K/yr

The Healthcare Technology Manager will lead the Biomedical Engineering team. This role will ... data, team utilization, etc. * Determine and execute process improvement initiatives and cost ...

Biomedical Technician II

Edmond, OK

$22.75 - $30.25/hr

Completes all paperwork and computer data entry accurately and promptly to ensure complete ... An associate degree in electronics, mechanical engineering, or biomedical equipment technology.

Biomedical Technician II

Nichols Hills, OK · On-site

$23 - $30.25/hr

Completes all paperwork and computer data entry accurately and promptly to ensure complete ... An associate degree in electronics, mechanical engineering, or biomedical equipment technology.

Document and submit daily data while maintaining high standards of product support quality ... Associate degree, or equivalent military training programs, or equivalent biomedical or technical ...

Document and submit daily data while maintaining high standards of product support quality ... Associate degree, or equivalent military training programs, or equivalent biomedical or technical ...

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Showing results 1-20

Biomedical Data Engineer information

What are the key skills and qualifications needed to thrive as a Biomedical Data Engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by Biomedical Data Engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is a Biomedical Data Engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

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

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in Oklahoma? For Biomedical Data Engineer jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Biomedical Data Engineer jobs? Cities in Oklahoma with the most Biomedical Data Engineer job openings:
Infographic showing various Biomedical Data Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering

Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering

University of Oklahoma

Norman, OK • On-site

Full-time

Posted 11 days ago


University Of Oklahoma rating

8.1

Company rating: 8.1 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

152nd of 611 rated colleges and universities


Job description

Description
The School of Computer Science at the University of Oklahoma invites the applications for two non-tenure track Research Assistant Professor positions in Omics Data Science and Bioinformatics for Immuno-Engineering. These research-focused faculty positions will support interdisciplinary multi-omics research through collaborative data analysis and methodology development for immuno-engineering applications.
Responsibilities
The successful candidates will be expected to:
• Collaborate with investigators on the design and analysis of multi-omics studies;
• Develop, validate, and apply computational workflows for large-scale omics data, including single-cell and spatial data;
• Support data integration, interpretation, manuscript preparation, and data sharing;
• Lead research and development of new bioinformatics, machine learning, and data science methods for immuno-engineering;
• Develop grant applications and contribute to proposals in immuno-engineering;
• Participate in workshops, consultations, and other collaborative research activities.
Qualifications
Applicants must have a Ph.D. in Computer Science, Bioinformatics, Computational Biology, Data Science, Biomedical Informatics, Statistics, or a closely related field. Candidates should have experience in computational analysis of biological or biomedical data, strong programming skills, experience with scalable computing environments, and the ability to work effectively in interdisciplinary teams.
Application Instructions
Applicants should submit a cover letter, CV, and contact information for three references to interfolio. Applications will be reviewed until the position is filled.

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About University of Oklahoma

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The University of Oklahoma is a prominent educational institution positioned in Norman, Oklahoma, US. Established in 1890, the university stakes a claim within the higher education industry and has a storied history of excellence in academics and research. Serving over 20,000 students, the university offers a wide range of programs across fields such as arts and sciences, business, engineering, international studies, and more. Emphasizing a dedication to unlocking potential, OU's mission is to provide the best possible educational experience to students through excellence in teaching, research, and creative activity. Notably, the institution has made significant strides in research with a focus on areas such as cancer, aerospace, and energy among others.

Industry

Education

Company size

5,001 - 10,000 Employees

Headquarters location

Norman, OK, US

Year founded

1890