 
- Remote working opportunity.
- Focus on digital health data analysis from wearable health monitoring devices.
Key Skills:
- Analytical Skills
- Research Skills
- Proficiency in Linux environment
- Experience with programming languages (R and Python)
- Data analysis on local systems, high performance clusters, and cloud environments
- Familiarity with machine learning methods for health data
- Ability to manage and perform reproducible data analysis using workflow management systems
Job Description:
Responsibilities:
- Analyze digital health data from wearable health monitoring devices such as heart rate monitors and continuous glucose monitors (CGM).
- Perform data imputation, identify data patterns, and predict health or disease status or adverse events.
- Apply machine learning methods to derive meaningful insights from wearable health device data.
- Conduct reproducible data analysis using workflow management systems.
Preferred Candidate Profile:
- Postgraduate degree in bioinformatics.
- Strong understanding of digital health data analysis.
- Proficiency in Linux environment and significant experience with R and Python.
- Experience with data analysis on local systems, high performance clusters, and cloud environments.
- Familiarity with machine learning methods for health data analysis.
