On-site Biomedical Data Engineer - Rockefeller Neuroscience Institute

Description

The Rockefeller Neuroscience Institute at West Virginia University is a comprehensive multidisciplinary patient care, education, and research institute providing neurological and mental healthcare through more than 300,000 visits annually. The RNI has 300+ physicians and scientists who improve lives by pioneering advances in neuroscience, brain health, and therapeutics. The 300+ team members collaborate with academic, government, and industry partners to combat public health challenges ranging from addiction to Alzheimer’s disease.

The 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.

We are seeking a Biomedical Data Engineer with strong experience in MATLAB, AWS cloud services, data engineering, and dashboard development. The 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.

• 37.5-hour work week
• 13 paid holidays
• 24 annual leave (vacation) days per year
• 18 sick days per year
• Health insurance and other benefits
• 401(a) retirement savings with 6% employee contribution match and eligibility to continue health insurance
• Wellness programs

• 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.
  • 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, Quick Sight, Tableau, Power BI.
  • 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.

• Bachelor's degree in Computer Science, Data Engineering, Biomedical Engineering, Bioinformatics, Electrical Engineering, Statistics, or a related field.
• Minimum of two (2) years of experience in: MATLAB for data processing, analysis, or scientific computing; 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.

• Experience with AWS cloud services,…