ZipRecruiter

Log In

1

Biomedical Data Engineer Jobs in Tennessee (NOW HIRING)

Sapsol Technologies Inc

Medical Engineer

Nashville, TN · On-site

Contribute to related data processing and image reconstruction workflows when required. B) Image ... Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering ...

Azra AI

Principal Data Scientist (Nashville)

Nashville, TN · On-site

$170K - $200K/yr

Innovate in prompt engineering , autonomous task orchestration, and clinical decision frameworks ... Signal processing expertise for ECG , EEG , or other biomedical time-series data. * Familiarity ...

ITW Instron

Sr Sales Engineer

Nashville, TN

... critical data, informing the design of components and materials. Our customers use Instron ... biomedical, aerospace, electronics and defense. Our systems can be found in quality control ...

CONMED

Design Quality Engineer II

Memphis, TN

Able to perform data mining, analyze data and create trend reports. * Demonstrate quality ... B.S. degree in Engineering such as Electrical, Mechanical, or Biomedical Engineering and 2+ years ...

Agiliti

Laser Service Engineer

Knoxville, TN · On-site

Complete paperwork and computer data entry. * Help with technical training. * Accurately account ... An associate degree in an Applied Science (electronics or biomedical equipment technology preferred ...

previous pagenext page

Showing results 21-40

All JobsBiomedical Data Engineer JobsBiomedical Data Engineer Jobs in Tennessee

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 Tennessee? For Biomedical Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Engineer jobs in Tennessee look for? The top searched job categories for Biomedical Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Biomedical Data Engineer jobs? Cities in Tennessee with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Hybrid job distribution.

Medical Engineer

Sapsol Technologies Inc

Nashville, TN

Contractor

Re-posted 9 days ago

Job description

Role Summary

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORETbased UTE imaging (nonCartesian) in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subjectmatter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development - Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and onscanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / NonCartesian)

  • Implement and validate nonCartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendorspecific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including nonCartesian methods, and software engineering.
  • Handson experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprintbased execution models.

Preferred

  • Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.

Apply