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.

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.

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.
• Data Organization and Storage: Design scalable data structures for storing biomedical and research data. Organize raw, processed, and analytics-ready datasets in AWS environments.
• 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.
• 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.
• Dashboards and Reporting: Build meaningful dashboards and visualizations for biomedical, clinical, and operational insights.
• Security and Compliance: Follow best practices for handling sensitive biomedical, clinical, and research data. Support HIPAA-aware data workflows where applicable.

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