Rebee Health facilitates remote rehabilitation monitoring, enabling patients to track their progress from home while allowing healthcare practitioners to deliver personalised care efficiently.

Project role: Software Engineer / Data Analyst

Rebee Intelligence; a sophisticated platform designed to guide patients through their rehabilitation programs autonomously. By analysing individual progress, adherence levels, and self-reported data, Rebee Intelligence adjusts exercise regimens accordingly.

Objective: This role will develop and maintain software solutions that analyse and interpret complex data sets. It will involve designing and implementing data models, creating algorithms, and building data processing systems.

Tasks:

1. Design and implement data models and algorithms to process large data sets, incorporating machine learning and AI techniques.
2. Create and manage ETL (Extract, Transform, Load) processes to ensure data is collected and integrated efficiently.
3. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
4. Perform data cleaning, transformation, and validation to ensure data quality.
5. Create visualisations and reports to communicate findings and support decision-making processes.
6. Continuously monitor and improve data processing systems for performance and scalability.

Skills:

1. Proficiency in programming languages such as Python, Java etc.
2. Strong knowledge of SQL and experience with database management systems (e.g., MySQL, PostgreSQL).
3. Have experience developing the React framework with web development skills.
4. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS) is desirable.