Lead Data Engineer

March 21

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Predict4Health

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Predict4Health is a company focused on preventing organ failure through the use of Artificial Intelligence and predictive medicine. They aim to enhance patient care and ease the workload of clinicians by providing data-driven tools that assist in monitoring and treating patients with chronic conditions or transplants. One of their key products, iBox, offers decision support for physicians by predicting rejection probabilities and graft survival, while their platform, Apilife, facilitates communication between patients and healthcare providers.

Medicine • Machine Learning • Prognosis • Clinical Management • Medical Diagnostic

11 - 50 employees

Founded 2019

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

💊 Pharmaceuticals

📋 Description

• Seeking an experienced Lead Data Engineer to shape our data infrastructure and strategy • Responsible for establishing and maintaining robust data systems, managing a diverse data team including data engineers and data scientists • Ensuring interoperability between hospital systems and our FHIR facade • Design, implement, and oversee scalable data architecture that supports healthcare applications • Establish and maintain ETL processes and data pipelines • Create and enforce data quality standards and governance policies • Lead implementation of FHIR-based interoperability solutions • Design tracking systems to monitor data flows and system performance • Manage a cross-functional data team • Provide technical direction and guidance to data engineers and data scientists • Develop and mentor team members • Collaborate with cross-functional teams to align data strategy with business objectives • Design dashboards that visualize business metrics and track relevant KPIs • Ensure data accessibility while maintaining security and compliance

🎯 Requirements

• 9+ years of relevant professional experience in data engineering roles • Proven track record of designing and implementing enterprise-level data solutions • Experience leading small technical teams (2-5 people) that include both data engineers and data scientists • Demonstrated experience with healthcare data systems, preferably with FHIR implementation • Background in setting up and optimizing data pipelines and ETL processes • French : Conversational level • English : C2 level • Expert-level proficiency in SQL and database management • Strong knowledge of data modeling, data warehousing, and data lake architectures • Extensive experience with ETL tools and frameworks • Practical understanding of machine learning and deep learning concepts and their distinctions • Working knowledge of data science workflows and model deployment processes • Experience with healthcare interoperability standards, particularly FHIR • Proficiency in implementing tracking systems and monitoring solutions • Ability to create effective data visualization dashboards and reports • Deep understanding of the differences between data engineering and data science disciplines • Practical knowledge of machine learning algorithms, model training, and evaluation metrics • Familiarity with deep learning frameworks and when they should be applied • Experience in creating data pipelines that support both analytics and machine learning workflows • Ability to guide data scientists on best practices for model deployment and production integration • Understanding of the full data lifecycle from ingestion to insights • Excellent communication skills with the ability to explain complex technical concepts • Strong project management capabilities • Experience in recruiting and building diverse technical teams with varied skill sets • Strategic thinking with a focus on long-term scalability and maintainability • Ability to balance the sometimes competing priorities of data engineering and data science teams