Data Engineer for Biotech startup (AWS data stack)

Data Engineer, Data Science.

Middle

B1 English

Required Skills

AWS

Nice to Have

Power BI

MongoDB

AWS Redshift

Data Analysis

AWS Database

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.

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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

How to Apply for Data Engineer for Biotech startup (AWS data stack)

Be ready for the next steps:

Create your profile on our website (import from LinkedIn)
20-30-minute screening call
Technical interview feedback
Project Selection (we are looking for the best project for you).

Who can apply:

We work with developers across Europe, LATAM, the U.S. (W-9 form owners), Canada, Asia, Oceania, and the UK.
We do not provide visa assistance, and this cooperation model does not include direct-hire benefits.
We cannot accept applicants from Russia, Belarus, Iran, or North Korea.

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