Clinical Data Engineer

About the role

As a Clinical Data Engineer, you will be responsible for building and maintaining high-quality clinical data pipelines that transform raw wearable signals into research- and regulator-ready datasets. You will work closely with clinicians, researchers, and ML teams to ensure data integrity across studies.

What you’ll do

• Design and implement data pipelines for multimodal physiological data (PPG, acoustics, IMU, temperature).
• Clean, synchronise, and validate real-world, motion-affected clinical datasets.
• Support clinical study design, protocols, and data-collection workflows.
• Develop tooling for annotation, quality control, and dataset versioning.
• Collaborate with ML teams to deliver analysis-ready datasets.
• Ensure compliance with data governance, privacy, and audit requirements.

What we expect

• Strong experience with time-series data engineering and analysis.
• Proficiency in Python and data frameworks.
• Experience working with clinical or biomedical datasets.
• Understanding of data quality, bias, and reproducibility in health research.
• Ability to collaborate with clinical and engineering stakeholders.

Why OmniBuds

You’ll help build the clinical evidence foundation for a new class of ear-based cardiovascular biomarkers—shaping how wearable health data is trusted, interpreted, and deployed at scale.