✨ About The Role
- The Head of Data Engineering will lead the development and enhancement of the clinical data ingestion and comprehension pipeline.
- This role involves driving the utilization of core principles in development, including observability, scalability, and end-to-end control.
- The successful candidate will support the use of advanced AI/ML research by exposing raw and comprehended data in analytics platforms.
- Establishing and maintaining key performance metrics to track the effectiveness of data engineering initiatives will be a key responsibility.
- Collaboration with internal and external stakeholders to gather feedback and drive continuous improvement is essential.
- The role also includes enhancing Deep 6 AI's reputation as a leader in AI-driven clinical trials acceleration through thought leadership and industry recognition.
⚡ Requirements
- The ideal candidate will have a strong player-coach mentality, balancing hands-on leadership with team management.
- A proven record of accomplishment in leading large-scale clinical data initiatives within a product-focused environment is essential.
- Candidates should possess a strong background in applied data engineering and data pipelines, with hands-on experience in developing and deploying production-ready models.
- Experience working with healthcare data, particularly HL7 and FHIR, is highly desirable.
- A deep understanding of streaming data ingestion and ETL processes is crucial for success in this role.
- Familiarity with machine learning techniques, especially natural language processing, will be beneficial.
- The candidate should demonstrate a passion for staying updated with the latest trends in data engineering and pipeline innovation.