The University of Texas System - Austin, TX
posted 2 months ago
The Department of Neurology at the Dell Medical School is seeking a Data Engineer for the Paydarfar Lab. This position is a one-year fixed-term appointment that is renewable based on funding, performance, and business needs. The primary purpose of this role is to develop and maintain a data platform that captures, analyzes, and visualizes various data streams related to cognitive disease states. The Data Engineer will be responsible for creating a robust, secure, HIPAA-compliant, cloud-based data warehouse infrastructure that can ingest data from multiple sources, including wearable sensor data, hospital monitoring systems, electronic medical records (EMR), and cognitive and behavioral assessments. In this role, the Data Engineer will develop extract, transform, and load (ETL) procedures to capture time-synchronized data streams from different sources. They will design and automate ETL solutions for data cleansing, preparation, validation, and related processes. The engineer will also construct warehouse infrastructure to facilitate automated feature extraction and retrospective population-based analysis. As the data landscape evolves, the engineer will adapt ETL procedures to meet changing data models and business needs, ensuring data quality and integrity. Collaboration is key in this position, as the Data Engineer will partner with clinicians, cognitive and behavioral therapists, physiologists, data modelers, and other team members. They will provide documentation for institutional knowledge retention, maintain timelines in coordination with principal investigators (PIs) and core leads, and assist in training project staff and research assistants involved in data collection. The role may also involve facilitating project collaborations and teamwork, along with other related duties as assigned.