Digital Health Data Engineer

Job Title : Digital Health Data Engineer

Location : Remote (EU-based candidates only)

Duration : 6-12 months contract

We are looking for an outstanding digital health data engineer whose responsibilities will include :

Position Summary : We are seeking a Digital Health Data Engineer with expertise in analysing multimodal time-series data from biosensors (e.g., accelerometer, ECG, PPG, EEG) and developing advanced data pipelines for digital health applications. The ideal candidate will have experience with Python, cloud-native solutions (AWS, Azure, GCP), machine learning, and familiarity with generative AI (Gen AI) and large language models (LLMs), focusing on the development of digital biomarkers. This role will lead data exploration efforts, drive technical innovation, and collaborate across teams to advance healthcare solutions through development of digital biomarkers.

3+ Years exp is required.

Responsibilities :

• Design, build, and maintain data pipelines, ensuring seamless integration and high-performance processing of large-scale datasets.
• Using large language models (LLMs) and foundation models, leveraging their capabilities for digital health applications and innovative solutions.
• Provide Python expertise, supporting team members with queries and troubleshooting, while driving best practices in code quality and development.
• Manage and optimize cloud infrastructure (AWS and Azure), including databases, Kubernetes clusters, AWS Bedrock, Athena, and S3 integration.
• Drive technical innovation by implementing generative AI technologies such as RAG (Retrieval-Augmented Generation) and exploring applications in digital health data.
• Communicate results through reports, presentations, and documentation.

Requirements

Qualifications : Required :

Nice to Have :