Data Science Lead

Overview

Join a fast-growing MedTech organisation at the forefront of transforming post-surgical care through clinically validated remote monitoring technology. As the Data Science Lead, you will play a pivotal role driving algorithmic innovation, shaping the R&D strategy, and directly influencing the next generation of medical device technology adopted across Europe. This is a unique opportunity to lead cutting-edge physiological signal processing work with immediate real-world clinical impact. The organisation is based in Strasbourg, and the role is hybrid working. Strasbourg is at the centre of one of Europe’s most distinguished medical research ecosystems and is rapidly scaling across the continent. Their remote monitoring solution is CE-marked, UniHA-listed, and backed by multiple clinical studies. They are committed to improving patient outcomes through science-driven technology, strong cross-functional collaboration, and meaningful clinical partnerships.

Key responsibilities

• 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 closely with software engineering teams to ensure architectural alignment and timely delivery.
• Translate clinical requirements into robust, production-ready technical solutions as the clinical project liaison.
• Support regulatory strategy and contribute to clinical validation activities.
• Manage and curate clinical datasets, ensuring data quality, integrity, and compliance.
• Ensure adherence to medical device software standards, including IEC 62304.

Required experience

• 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.
• Proven experience in medical devices, digital health, or wearable technologies.
• Familiarity with medical software standards, particularly IEC 62304.
• Excellent communication skills and confidence engaging with clinicians, engineers, and product stakeholders.
• Highly organised, structured, and proactive in driving cross-functional initiatives.

Technical skills

• Signal analysis & physiological data processing
• SQL & clinical data management
• AWS, GCP, or similar cloud platforms
• Bonus: Image analysis, biomedical algorithm development, time-series modelling

Why Join

• Meaningful Impact – Contribute to technology directly improving patient safety and hospital efficiency.
• Career Growth – Own critical, high-impact innovation streams within a rapidly scaling medtech company.
• International Collaboration – Work with teams across France & the USA.
• Flexibility – Hybrid work after a comprehensive onboarding period.
• Innovative Culture – Fast-paced, research-driven, and clinically focused environment.

Your consultant

As a Recruitment Consultant at Aspire Life Sciences, Jack Wilson specialises at the intersection of technology and life sciences. He focuses on placing high-level Data, AI and Machine Learning talent with fast-growing startups across the UK, Europe, and the USA. Jack’s deep industry insight allows him to connect candidates with roles where cutting-edge technology meets life-saving healthcare innovation.

Referrals increase your chances of interviewing at Aspire Life Sciences.

Sign in to set job alerts for “Data Science Specialist” roles.