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

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 benefits • 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 programs What You%27ll 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. 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 benefits • 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 programs What You%27ll 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. 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 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 West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees. From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures. At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values — service, curiosity, respect, accountability and appreciation — unite us as Mountaineers. Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu. West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status. West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees. From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures. At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values — service, curiosity, respect, accountability and appreciation — unite us as Mountaineers. Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu. West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.

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