MedTech Data Science Lead: Signal Processing for Clinicians

Aspire Life Sciences Search; Paris; Hybride; EUR 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Career growth opportunities

Flexible working after onboarding

International collaboration

Résumé du poste

A leading MedTech organisation is seeking a Data Science Lead to drive algorithmic innovation and shape the R&D strategy. This role will involve leading the data science function, designing advanced physiological signal processing algorithms, and working in a hybrid model based in Strasbourg. Candidates should possess a PhD and have strong experience in physiological signal processing and medical devices. It's a unique opportunity to impact patient outcomes with cutting-edge technology.

Qualifications

• PhD in Biomedical Engineering, Signal Processing, Biostatistics, Computer Science, or a related field.
• Strong hands-on experience with physiological signal processing (e.g., ECG, PPG).
• Deep understanding of biostatistics, time-series analysis, and modelling.

Responsabilités

• Lead the organisation’s entire data science function and define the technical strategy for algorithm development.
• Design, develop, and optimise advanced physiological signal processing algorithms.
• Coordinate with software engineering teams to ensure architectural alignment.

Connaissances

Signal analysis & physiological data processing

SQL & clinical data management

AWS

GCP

Formation

PhD in Biomedical Engineering or related field

Outils

Medical software standards

Description du poste

A leading MedTech organisation is seeking a Data Science Lead to drive algorithmic innovation and shape the R&D strategy. This role will involve leading the data science function, designing advanced physiological signal processing algorithms, and working in a hybrid model based in Strasbourg. Candidates should possess a PhD and have strong experience in physiological signal processing and medical devices. It's a unique opportunity to impact patient outcomes with cutting-edge technology.