Lead Data Scientist (AI/MedTech)

Location: Marseille, France; hybrid workplace

Company

hirify.global is a MedTech company developing AI software products and physician-validated machine learning solutions for interventional cardiac electrophysiology.

What you will do

• Define and drive the Data Science roadmap in alignment with product and business priorities.
• Lead the design, development, and validation of machine learning and deep learning algorithms for medical devices.
• Lead, mentor, and grow Data Scientists, Data Engineers, and PhD researchers.
• Coordinate priorities, allocate resources, and ensure timely delivery across multidisciplinary projects.
• Collaborate with Software Engineering, Clinical, Regulatory, and Product teams throughout the product lifecycle.
• Contribute to AI software architecture, technical documentation, publications, patents, and academic collaborations.

Requirements

• PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Statistics, Physics, or a related field.
• 10+ years of experience developing machine learning solutions in an industrial R&D environment.
• 5+ years of experience leading technical teams or mentoring Data Scientists.
• Strong expertise in machine learning, deep learning, statistical modeling, model evaluation, and deployment.
• Strong Python programming skills and experience with PyTorch, Scikit-learn, NumPy, and Pandas.
• Fluent English, spoken and written, is required.

Nice to have

• Experience in regulated environments such as medical devices, healthcare, automotive, or aerospace.
• Experience bringing AI models from research to production.
• Knowledge of Git, testing, CI/CD, Docker, Linux, cloud computing, and MLOps.
• Knowledge of signal processing.

Culture & Benefits

• Meaningful work with direct clinical impact.
• International, multidisciplinary, and collaborative environment with 100+ colleagues across the EU and USA.
• Opportunity to work on state-of-the-art AI applied to healthcare.
• High autonomy, professional growth opportunities, and regular scientific exchanges.
• Innovation-driven workplace based in Marseille.

Hiring process

• Introductory and culture-fit interview with the Senior VP People.
• Technical and leadership interview with the VP Innovation and CTO, followed by an interview with the CEO.
• Coffee chat at the Marseille headquarters with the Data Science team, clinical and regulatory leadership, and co-founders.