Data Engineer for Biotech startup (AWS data stack)
Summary
The innovative biotech medical & well-being startup, which develops in-clinic solutions for treating psychological, psycho-somatic, and other disorders, enhancing sleep quality & wellness, is looking for a Data Engineer to build its Cloud Data Platform which will aggregate, process, and analyze clinical session data, de-personalize. patient information. We are currently developing software for the intersection of medical technology, data engineering, and applicability and integrating third-party sensors into our devices.
About Product
Innovative biotech medical & well-being startup, which develops in-clinic solutions for treating psychological, psycho-somatic and other disorders, enhancing sleep quality & wellness, is looking for a Data Engineer to build its Cloud Data Platform which will aggregate, process, and analyze clinical session data, de-personalize. patient information. We are currently developing software for the intersection of medical technology, data engineering, and applicability and integrating third-party sensors into our devices.
System architecture at the current stage (beta) is follows:
- Local Device (Raspberry Pi or similar) integrated into a sleeping place
- patient sessions during sleep
- Signal processing from external sensors
- Local processing & storage
- Initial processing and cloud storage should be implemented
- Cloud Data Analytics and Storage (AWS)
- Data lake/warehouse infrastructure
- Data Science models, analyses, and prediction algorithms
- Proprietary data analytic methods and processing algorithms
- Industry-wide tools for biomedical data visualization
- Doctor/User Profile (Web)
- Doctor/Patient profile
- Access to all data sessions from the cloud
- Data access separation - identifiable and de-personalized patient data
- Analysis and Recommendations
Requirements:
- AWS Cloud services for Data stack, including ELT/ETL, pipeline processing
- Data visualization for biomedical data
- Background in biological/medical data processing and visualization, digital signal processing and the medical or biology industry will be a plus
Responsibilities:
- software development for data collection and integration into the cloud.
- building from scratch a platform for data science on the cloud; web applications