Data Engineer for Biotech startup (AWS data stack)

Data Engineer, Data Science

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
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