Data Manager

DeepHealth · Paris, Île-de-France, Francejunior

In short

▸Gestiona datos médicos y crea herramientas para equipos de IA y radiología.
▸Trabaja en equipo con científicos y desarrolladores para construir conjuntos de datos médicos precisos y representativos.
▸Destacado: colabora directamente en el desarrollo de soluciones de IA para detección temprana de enfermedades.

Required: Ability to communicate effectively in English.

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What they ask for

✓Titulación de máster en campo sanitario.
✓Capacidad para estructurar y documentar procesos de datos.
✓Conocimiento de Python y bases de datos (BigQuery, MongoDB).
✓Razonamiento lógico y atención al detalle.
✓Habilidades de comunicación para traducir necesidades técnicas y clínicas.
✓Capacidad para manejar múltiples tareas con visión general.

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PythonBigQueryMongoDBdata pipelinesdashboardsautomatizacióndata lakeconjuntos de datos médicosguías de anotaciónIA médica

Who should you write to at DeepHealth?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Company Overview DeepHealth, a RadNet company, is focused on delivering AI-powered solutions that improve population health, optimize radiology workflows, and drive earlier detection of disease. Our portfolio spans breast, lung, brain, prostate, and thyroid imaging AI, deployed across enterprise imaging platforms and large screening programs. Job Summary Data is a strategic asset at every phase of product development, and the Data Team’s role is to put it at the center of all stakeholders’ workflows. The Associate Data Manager will join a team that has built solid experience managing multiple products in parallel, with shared tooling and processes across products and modalities. The team’s pipelines continue to evolve to meet new challenges like data export and dataset creation. Strong bridges with our AI and Software teams fuel constant knowledge sharing and technical upskilling. As a member of the Data Team, the Associate Data Manager will collaborate closely with Radiologists, Product Managers, AI Engineers, Clinical Research Scientists and Software Developers to build and improve our medical products. Responsibilities: • Design and maintain efficient tooling (pipelines, dashboards, automation) for the Data Team itself as well as for any stakeholder who needs to access, explore, or leverage the data. • Surface actionable insights from the data lake by identifying, structuring, and delivering relevant information to stakeholders across product, AI, and clinical teams. • Join at least one squad and be the Data expert. • Participate in the targeting and collection of relevant data. • Build and structure medically consistent and representative datasets. • Establish relevant annotation guidelines and training to ensure annotation quality. • Be a stakeholder in the ongoing overseeing and refinement of AI algorithm performances. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time. Qualifications, Education and Experience: • Master’s degree in a health-related field required • Ability to structure, document, and industrialize data processes. (Required) • Proficiency in a programming language (ideally Python) and comfortable working with databases (BigQuery, MongoDB). (Required) • Strong reasoning abilities and attention to detail. (Required) • Analytical and scientific mindset. (Required) • Good communication skills — able to translate needs between technical and less technical stakeholders. (Required) • Driven to solve medical problems. (Required) • Proactive and curious, with a continuous improvement mindset. (Required) • Able to manage multiple topics in parallel while maintaining a big-picture view. (Required) • Knowledge of medical imaging. (Preferred) • Machine learning understanding. (Preferred) • Experience building internal tools or data pipelines. (Preferred) Quality Standards • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors. • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance. • Follows all local, regional and country laws concerning employment. • Follows all DeepHealth policies and procedures. • Follows data privacy, compliance, safety and confidentiality standards at all times. • Practices universal safety precautions. • Promotes good public relations on the phone and in person. • Adapts and is willing to learn new tasks, methods, and systems. • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines. • Completes job responsibilities in a quality and timely manner.

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