Imaging Data Engineer III

SHIFT:

Day (United States of America)

Seeking Breakthrough Makers

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A Brief Overview

The Center for Data-Driven Discovery in Biomedicine (D3b - d3b.center) seeks an experienced Data Engineer to join a multi-disciplinary team of data scientists, radiologists, engineers, and analysts in the Translational Imaging Research Unit (TIRU) committed to accelerating treatments and cures for children with cancer. The hire will support several multi-institutional healthcare, research, and clinical trial initiatives through operational and database management efforts, under the supervision of a lead data scientist. The hire will be responsible for expanding and optimizing our database of medical imaging data, data warehouse and building data integrations, developing data best practices and governance, performing clinical and administrative reporting and data visualization, as well as optimizing data flow, collection, and reporting for cross-functional teams, including external collaborators. The Data Engineer will be responsible for leveraging existing software and system technologies to facilitate the complete data lifecycle and ensure project delivery, will interact with team members across imaging, technology engineering, and biospecimen/clinical coordinating units at D3b, and will communicate to various stakeholders.

The ideal candidate is experienced in all aspects of data from multiple complex sources who enjoys optimizing data systems and building them from the ground up. The Data Engineer III will support our developers, database architects, data analysts and data scientists ensuring optimal data delivery architecture is consistent throughout ongoing projects. They will also support non-technical colleagues in the collection and appropriate use of clinical imaging and non-clinical imaging data. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

The successful candidate will have experience in code development (Python, RESTful APIs) and management (Github), will communicate effectively, and enable the research and technical teams to transform data into actionable insights. Deep knowledge of, or direct experience with, medical imaging data (DICOM files), database management, cloud computing services (AWS), and handling of “big data” in biomedical contexts is strongly preferred. Experience with continuous integration and continuous deployment is a bonus.

What you will do

• Assemble and maintain large, complex imaging data sets that meet clinical research requirements. Validate data to ensure quality.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources (including ground, hybrid cloud, and cloud) using SQL and various programming technologies.
• Data Integration & Modeling – evaluate structured and unstructured data, incorporate new data, determine the most appropriate schema for new fact tables, data marts, etc. while maintaining enterprise best practices and adhering to data governance standards.
• Reporting – collaborate with colleagues across the enterprise to scope requests. Extract data from various data sources, validate results, create relevant data visualizations, and share with requester. Develop dashboards and automate refreshes as appropriate.
• Governance / Best Practices – adhere and contribute to enterprise data governance standards. Also educates and supports colleagues in best practices to ensure that data is used appropriat