Data Manager

United States Digital Space LLC; Paris; Hybride; EUR 45 000 - 55 000; Plein temps

Résumé du poste

RadNet seeks an Associate Data Manager to join our Data Team and collaborate with radiologists, product managers, AI engineers, and software developers. You will design tooling, dashboards, and data pipelines to access, explore, and leverage complex medical data across modalities.

You will surface actionable insights from the data lake, help shape data collection, and build representative, medically consistent datasets while ensuring high data quality and governance.

Qualifications

• Master's degree in a health-related field is required.
• Proficiency in a programming language (ideally Python) and comfortable with databases (BigQuery, MongoDB).
• Strong reasoning, analytical mindset, and attention to detail.

Responsabilités

• Design and maintain tooling (pipelines, dashboards, automation) for the Data Team and stakeholders.
• Surface actionable insights from the data lake for product, AI, and clinical teams.
• Be the Data expert in at least one squad and guide data collection.
• Build and structure medically consistent datasets.
• Establish annotation guidelines and training to ensure quality.
• Oversee AI algorithm performance refinements.

Connaissances

Data structuring

Attention to detail

Communication

Multi-tasking

Problem solving

Formation

Master's degree in health-related field

Outils

Python

BigQuery

MongoDB

Description du poste

Company Overview

the company, 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.

Essential Duties and 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.

Minimum 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 the company 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 the company guidelines.
• Completes job responsibilities in a quality and timely manner.

Travel

This position may require occasional travel.

Working Environment

Office / Hybrid

Accommodations

Reasonable accommodations may be made to enable people with disabilities to perform the essential functions of the job.

Salary

€45,000 - €55,000