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Biomedical Data Engineer Jobs in Memphis, TN (NOW HIRING)

Thecentermemphis

Senior Bioinformatics Analyst

Memphis, TN · On-site

$78 - $139.36/hr

Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality check. * Assist senior analysts and scientists in the courses and ...

AAMI

Biomedical Equipment Support Specialist

Memphis, TN · On-site

$65 - $90/hr

Biomedical support requires the application of engineering and mechanical concepts and methodology ... data sanitization, and technical evaluation for condition prior to disposal; and strategic planning ...

New

CONMED

Design Quality Engineer II

Memphis, TN · On-site

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 ...

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Biomedical Data Engineer information

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$15

$61

$85

How much do biomedical data engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for biomedical data engineer in Memphis, TN is $61.18, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $68.89 per hour, depending on experience, location, and employer.

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 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 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 Memphis, TN?

For Biomedical Data Engineer jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Engineer jobs in Memphis, TN look for?

The top searched job categories for Biomedical Data Engineer jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Biomedical Data Engineer jobs?

Cities near Memphis, TN with the most Biomedical Data Engineer job openings:

Biomedical Data Engineer jobs near you

Faculty Position - Department of Epidemiology and Cancer Control, Data Science

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 10 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

42nd of 1,065 rated hospitals

Job description

Job Summary:
St. Jude Children's Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. They are seeking an innovative data scientist to join their multidisciplinary team to advance research in childhood cancer survivorship by applying state-of-the-art computational methods to high-dimensional health data.
Responsibilities:
• Apply state-of-the-art computational methods to extract insights from high-dimensional, multimodal health data.
• Develop predictive and integrative models that transform survivorship care.
• Lead a vibrant research program at the intersection of data science and clinical/biological sciences.
• Collaborate across Cancer Center Programs, engaging with both clinic- and laboratory-based researchers to advance clinical care and knowledge of childhood cancer and associated late effects.
Qualifications:
Required:
• Successful applicants must hold a PhD or equivalent degree in the field of data science
• Have at least three years of relevant postgraduate experience
• Have a proven track record of productivity
Preferred:
• Advanced machine learning (deep learning, representation learning, probabilistic modeling)
• Natural language processing and large language models for extracting, structuring, and modeling high-dimensional, unstructured clinical notes, patient-reported narratives, and speech-derived phenotypes
• AI-driven approaches for multimodal data integration and predictive analytics
• Computational pipelines for large-scale biomedical datasets
• Interest in causal inference, risk stratification, and precision medicine
• Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature engineering)
• Experience applying pretrained foundation models or self-supervised learning approaches to biomedical data
• AI agents for orchestrating multi-stream data integration, real-time analytics, and decision-support workflows in survivorship research
Company:
St. Founded in 1962, the company is headquartered in Memphis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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