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Biomedical Data Engineer Jobs (NOW HIRING)

Alzheon Inc

AI Data Engineer

Framingham, MA

$118.50K - $142.30K/yr

The ideal candidate will have a strong background in data engineering, machine learning, and biomedical data, with a passion for transforming complex datasets into actionable insights that drive ...

Black Canyon Consulting LLC

Data Engineer

Bethesda, MD

$122.70K - $147.40K/yr

Data Engineer Black Canyon Consulting (BCC) is searching for Data Engineer(s) to support our work ... NCBI is the world's premier biomedical center hosting over six million daily users seeking research ...

Cedars Sinai

Research Data Scientist

West Hollywood, CA · On-site

$94.80K - $161K/yr

Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and application of ...

Cedars Sinai

Research Data Scientist

West Hollywood, CA

$94.80K - $161K/yr

Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and application of ...

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How much do biomedical data engineer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for biomedical data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

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.

More about Biomedical Data Engineer jobs
What cities are hiring for Biomedical Data Engineer jobs? Cities with the most Biomedical Data Engineer job openings:
What states have the most Biomedical Data Engineer jobs? States with the most job openings for Biomedical Data Engineer jobs include:
What job categories do people searching Biomedical Data Engineer jobs look for? The top searched job categories for Biomedical Data Engineer jobs are:
Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
(On-site) Biomedical Data Engineer - Rockefeller Neuroscience Institute

(On-site) Biomedical Data Engineer - Rockefeller Neuroscience Institute

West Virginia University

Morgantown, WV • On-site

$117.80K - $141.50K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago

West Virginia University rating

6.8

Company rating: 6.8 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

401st of 530 rated colleges and universities

Job description

Description
The Rockefeller Neuroscience Institute at West Virginia University is currently accepting applications for an (Onsite) Biomedical Data Engineer.
Rockefeller Neuroscience Institute
The WVU Rockefeller Neuroscience Institute (RNI) is a comprehensive multidisciplinary patient care, education, and research institute providing neurological and mental healthcare through more than 300,000 visits annually. The 300+ physicians and scientists of the RNI improve lives by pioneering advances in neuroscience, brain health, and therapeutics. The RNI team uses the latest technologies with academic, government, and industry partners to make tangible progress to combat public health challenges ranging from addiction to Alzheimer's disease.
The RNI's flagship facilities are located on the WVU Health Sciences campus in Morgantown, with more than 2,200 dedicated team members across seven departments, patient care units, and research laboratories. For more information, visit WVUMedicine.org/RNI.
About the Opportunity
We are seeking a Biomedical Data Engineer with strong experience in MATLAB, AWS cloud services, data engineering, and dashboard development. This role will support biomedical, clinical, and research data initiatives by building reliable data pipelines that fetch, organize, store, transform, and present data in meaningful ways for researchers, clinicians, and leadership teams.
The ideal candidate understands how to work with complex biomedical datasets, sensor or device-generated data, clinical research data, and structured or semi-structured data sources. This person should be comfortable turning raw data into clean, usable datasets and supporting dashboards that help teams make informed decisions.
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:
• 37.5-hour work week
• 13 paid holidays (staff holiday calendar)
• 24 annual leave (vacation) days per year (employee leave)
• 18 sick days per year (for when you're ill, for when you need time to care for sick family, for your own, or your family's, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)
• WVU offers a range of health insurance and other benefit
• 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ's.
• Wellness program
What You'll Do
  • Data Fetching and Integration
    • Build and maintain data pipelines to retrieve data from multiple sources, including biomedical devices, research systems, APIs, databases, flat files, and cloud storage.
      Work with structured, semi-structured, and time-series biomedical data.
      Support ingestion of MATLAB-generated data, CSV files, JSON, SQL data, and other scientific data formats.
      Collaborate with software, clinical, and research teams to understand data source requirements.
  • Data Organization and Storage
    • Design scalable data structures for storing biomedical and research data.
      Organize raw, processed, and analytics-ready datasets in AWS environments.
      Support cloud-based storage using services such as Amazon S3, RDS, Redshift, Glue, Athena, or similar tools.
      Ensure data is stored in a secure, traceable, and well-documented manner.
  • Data Transformation and Quality
    • Develop ETL/ELT workflows to clean, normalize, validate, and transform data.
      Convert raw biomedical data into meaningful analytics-ready tables and datasets.
      Perform data quality checks, anomaly detection, and validation routines.
      Maintain documentation for data pipelines, data dictionaries, and transformation logic.
  • MATLAB and Scientific Computing
    • Work with MATLAB scripts, toolboxes, and biomedical signal or research data workflows.
      Convert or operationalize MATLAB-based logic into repeatable data processing pipelines.
      Collaborate with researchers and scientists who use MATLAB for analysis.
      Help migrate or integrate MATLAB outputs into cloud-based data platforms.
  • Dashboards and Reporting
    • Build meaningful dashboards and visualizations for biomedical, clinical, and operational insights.
      Translate complex datasets into easy-to-understand metrics, trends, and visual summaries.
      Support dashboard tools such as Plotly Dash, QuickSight, Tableau, Power BI, or similar platforms.
      Work with stakeholders to define KPIs, data views, filters, and reporting needs.
  • Security and Compliance
    • Follow best practices for handling sensitive biomedical, clinical, and research data.
      Support HIPAA-aware data workflows where applicable.
      Implement secure access controls, logging, and data governance practices.
      Work with teams to ensure proper data privacy, security, and compliance standards.

Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Biomedical Engineering, Bioinformatics, Electrical Engineering, Statistics, or a related field.
  • A minimum of two (2) years of experience in the following:
    • Hands-on experience with MATLAB for data processing, analysis, or scientific computing.
    • MATLAB, AWS, SQL, Python, ETL/ELT, data pipelines, data modeling, dashboarding
  • Any equivalent combination of related education and/or experience will be considered.
  • All qualifications must be met by the time of employment.

Knowledge, Skills and Abilities
  • Experience with AWS cloud services, especially data-related services such as S3, RDS, Redshift, Glue, Lambda, Athena, or CloudWatch.
  • Strong SQL skills and experience working with relational databases.
  • Experience building data pipelines for ingestion, transformation, and reporting.
  • Familiarity with Python, especially for data engineering or analytics workflows.
  • Ability to work with large, complex, and messy datasets.
  • Strong understanding of data modeling, data quality, and documentation.
  • Ability to communicate clearly with technical and non-technical stakeholders.

Preferred Qualifications
  • Experience in biomedical, healthcare, neuroscience, clinical research, digital health, or life sciences environments.
  • Experience with time-series data, wearable device data, sensor data, imaging metadata, or physiological signal data.
  • Familiarity with EHR data, or clinical data standards.
  • Experience with data visualization tools such as Plotly Dash, QuickSight, Tableau, or Power BI.
  • Experience with AWS Lambda, Step Functions, Glue jobs, Redshift Spectrum, or serverless data pipelines.
  • Knowledge of HIPAA, data privacy, and research data governance.
  • Experience converting research prototypes into production-ready data workflows.
  • Familiarity with Git, CI/CD, Jira, Confluence, or Agile development practices.
  • Amazon S3, Redshift, RDS, Glue, Athena, Lambda, QuickSight, Plotly Dash, APIs, JSON, CSV, Git, FHIR, biomedical signal processing

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