1.0 FTE Full time Day - 08 Hour R2441340 Remote USA 84865 IT INNOVATION & TRANS ADMIN Technology & Digital Solutions
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Day - 08 Hour (United States of America)
This is a Stanford Health Care job.
A Brief Overview
The Enterprise Research Data Broker (ERDB) plays a critical role in supporting vital medical research at Stanford Medicine. They act as expert intermediaries, bridging the gap between researchers and the vast health system data landscape. ERDBs possess a unique blend of technical expertise, analytical prowess, and communication skills, enabling them to effectively:
Acquire and curate data: ERDBs source and integrate data from diverse sources within the Stanford Medicine ecosystem, ensuring its accuracy, completeness, and compliance with regulatory and privacy protocols.
Analyze and interpret data: They leverage their analytical skills to extract meaningful insights from complex datasets, employing statistical methods and data visualization techniques to uncover hidden patterns and trends.
Facilitate data exchange: ERDBs act as data stewards, establishing and maintaining efficient data pipelines between systems, ensuring seamless access for authorized researchers.
Collaborate and communicate: They foster strong relationships with researchers, understanding their specific data needs and translating complex data into actionable insights. This involves clear and concise communication, both verbally and in written reports and manuscripts.
Guides substantial data projects: Leads the design, implementation, and analysis of data for complex research initiatives.
Ensures compliance: Implements and enforces strict data quality, security, and privacy standards.
Strategic contributions: Makes valuable contributions to overarching data strategy and decision-making processes.
Locations
Stanford Health Care
What you will do
• Data Acquisition and Management:
• Lead the design and implementation of data acquisition strategies for complex research initiatives. This involves identifying and accessing diverse data sources, developing data acquisition protocols, and ensuring data quality and compliance with regulatory and privacy requirements.
• Oversee the integration and harmonization of data from multiple sources. This includes developing data integration plans, implementing data mapping and transformation processes, and resolving data discrepancies to ensure data consistency and compatibility across datasets.
• Establish and maintain rigorous data quality standards and processes. This involves defining data quality metrics, implementing data validation and cleaning procedures, and monitoring data quality throughout the research lifecycle.
• Ensure strict adherence to all applicable regulatory and privacy protocols, including HIPAA, IRB, and data security policies. This includes implementing access controls, anonymizing data, obtaining necessary approvals, and maintaining detailed audit trails.
• Data Analysis and Interpretation:
• Lead the development and implementation of advanced statistical and data analysis plans for complex research projects. This involves selecting appropriate statistical methods, designing data analysis workflows, and conducting in-depth analyses to extract meaningful insights from large and complex datasets.
• Develop and apply sophisticated data visualization techniques to effectively communicate complex findings to researchers and stakeholders. This includes creating interactive dashboards, heatmaps, network graphs, and other advanced visualizations that clearly represent data patterns, trends, and relationships.
• Interpret and communicate data insights in a clear, concise, and actionable manner. This involves translating complex data findings into readily understandable information that can be used to inform decision-making, guide research directions, and advance scientific knowledge.
• Prepare reports, presentations, manuscripts, and other communication materials that effectively convey data-driven insights to diverse audiences.
• Data Exchange and Collaboration:
• Lead the design and implementation of efficient and scalable data pipelines to facilitate seamless data access and exchange for authorized researchers. This involves leveraging data engineering tools and technologies to automate data acquisition, integration, delivery, and access.
• Establish and maintain strong relationships with researchers across various disciplines. This involves understanding their specific data needs, providing tailored support, and fostering ongoing collaboration throughout the research lifecycle.
• Mentor a team of ERDBs to ensure efficient and effective data management and analysis across multiple projects. This involves delegating tasks, providing guidance and support, and fostering a collaborative and high-pe
Location: Sacramento, CA
Posted: Aug. 16, 2024, 2:37 p.m.
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