Head of Data Engineering - Clinical

August 21

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Deep 6 AI

healthcare analytics β€’ unstructured data β€’ data science β€’ artificial intelligence β€’ machine learning

11 - 50

πŸ’° $17M Series A on 2019-11

Description

β€’ Lead the continued development and enhancement of our clinical data ingestion and comprehension pipeline. β€’ Drive the utilization of core principles in development, including observability, scalability, and end-to-end control. β€’ Support the utilization of advanced AI/ML research through the exposure of raw, canonicalized, and comprehended data in analytics platforms. β€’ Establish and maintain key performance metrics to track the effectiveness of data engineering initiatives. β€’ Foster collaboration with internal and external stakeholders to gather feedback and drive continuous improvement. β€’ Enhance Deep 6 AI's reputation as a leader in AI-driven clinical trials acceleration through thought leadership and industry recognition.

Requirements

β€’ Strong player-coach mentality, with an ability to balance the hands-on needs of leading two groups: data platform (data engineering) and search/enrichment (ML engineering). β€’ Proven record of accomplishment, leading successful large-scale clinical data initiatives within a product-focused environment. β€’ Strong background in applied data engineering and data pipelines, with hands-on experience developing and deploying production-ready models. β€’ Understanding of Software Development Life Cycle and data product development β€’ Experience working with healthcare data, especially HL7 and FHIR. β€’ Deep understanding of streaming data ingestion and ETL processes β€’ Conceptual understanding of ML techniques, particularly NLP (e.g., NER, BERT). β€’ Conceptual understanding of AI techniques like large language models (LLMs), self-learning models (SLMs), and other state-of-the-art approaches. β€’ Experience with database technologies, especially Elasticsearch, PostgreSQL, Amazon Aurora, and DynamoDB. β€’ Demonstrated passion for staying up to date with the latest data engineering and pipeline trends, along with a record of accomplishment of driving innovation.

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