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Biomedical Data Engineer Jobs in Oklahoma (NOW HIRING)

INTEGRIS Health

Monitor Tech - Cardiac

Yukon, OK · On-site

$16.50 - $21/hr

... data to/from appropriate colleagues * During code situations, maintains contact with appropriate staff to assist with rhythm interpretation and dysrhythmia detection * Contacts biomedical engineering ...

INTEGRIS Health

Monitor Tech CVCU

Oklahoma City, OK · On-site

... data to/from appropriate colleagues * During code situations, maintains contact with appropriate staff to assist with rhythm interpretation and dysrhythmia detection * Contacts biomedical engineering ...

INTEGRIS Health

Monitor Tech - Cardiac

Yukon, OK · On-site

$16.50 - $21/hr

... data to/from appropriate colleagues * During code situations, maintains contact with appropriate staff to assist with rhythm interpretation and dysrhythmia detection * Contacts biomedical engineering ...

INTEGRIS Health

Monitor Tech CVCU

Oklahoma City, OK · On-site

... data to/from appropriate colleagues * During code situations, maintains contact with appropriate staff to assist with rhythm interpretation and dysrhythmia detection * Contacts biomedical engineering ...

INTEGRIS Health

Monitor Tech CVCU

Oklahoma City, OK · On-site

... data to/from appropriate colleagues * During code situations, maintains contact with appropriate staff to assist with rhythm interpretation and dysrhythmia detection * Contacts biomedical engineering ...

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All JobsBiomedical Data Engineer JobsBiomedical Data Engineer Jobs in Oklahoma

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 job categories do people searching Biomedical Data Engineer jobs in Oklahoma look for? The top searched job categories for Biomedical Data Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Biomedical Data Engineer jobs? Cities in Oklahoma with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Research Scientist GS9392

Oklahoma State University

Tulsa, OK

Full-time

Re-posted 26 days ago

Oklahoma State University rating

7.3

Company rating: 7.3 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

360th of 616 rated colleges and universities

Job description

Research Scientist GS9392

Apply now Job no: 493897
Work type: Staff Full-time
Location: Tulsa
Categories: Research

Campus

OSU-Center for Health Sciences

Contact Name & Email

Jamie Childers, Jamie.Childers@okstate.edu

Work Schedule

Typically Monday - Friday, 8 hour shifts

Appointment Length

Regular Continuous/Until Further Notice

Hiring Range

Salary

Priority Application Date

While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration.

Special Instructions to Applicants

For full consideration, please include a resume or CV, cover letter and contact information for three professional references

About this Position

The Department of Anatomy & Cell Biology is seeking a Research Assistant or Scientist to provide quantitative and data-focused support for human and mouse neuroscience research. This position focuses on data management, analysis, and study infrastructure for IRB-regulated human and animal subjects research, including behavioral and neuroimaging studies. The role functions as a shared analytical resource and is primarily computational in nature, with limited but essential involvement in human subjects research activities.

Key Responsibilities

  • Conduct quantitative analyses using Python and/or R
  • Analyze and interpret high-throughput DNA/RNA sequencing (bulk and single-cell RNA-seq) datasets using established pipelines and statistical methods;
  • Support development and deployment of behavioral tasks (online and in-person)
  • Assist with neuroimaging and behavioral data workflows
  • Ensure compliance with data security and IRB regulations as well as ensuring data integrity and reproducibility  
Required Qualifications
  • Master's
    • Master's degree or Ph.D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field
    (degree must be conferred on or before agreed upon start date)
    • Experience with quantitative data analysis (Python and/or R)
    • Experience working with research data or regulated datasets
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Ability to implement and troubleshoot bioinformatics workflows in R and/or Python for quality control, normalization, clustering, differential expression or other analysis steps
    • Strong organizational and communication skills
Preferred Qualifications
  • Ph.D. degree
    • Ph.D. degree in a relevant field
    • Experience with large-scale databases (behavioral, neuroimaging, genomic databases)
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Familiarity with Unix/Linux environments

Advertised: 13 Feb 2026 Central Standard Time
Applications close:

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