Prenosis (https://prenosis.com/) | Data Engineer | Full Time | Chicago, US | Partial remote
Prenosis is a health tech innovator devoted to ushering in a new era of precision diagnostics in acute care using artificial intelligence. We leverage machine learning algorithms trained on deep biological and broad clinical data. We are focusing on sepsis, and are building the largest and fastest growing hybrid biomarker/clinical dataset for sepsis care.
We are a small startup, and are looking for our first data engineer.
Responsibilities:
- Evangelize data best-practices throughout the company
- Build and manage a robust and scalable data pipeline
- Decide on data pipeline architecture and tools
- Build internal tools to empower data scientists to manage and use the data pipeline
- Work closely with data scientist and product engineers to understand the data pipeline requirements
- Make sure data is available and accessible for data science and machine learning
- Help set up our MLOps process, infrastructure, and tools
Prenosis is a health tech innovator devoted to ushering in a new era of precision diagnostics in acute care using artificial intelligence. We leverage machine learning algorithms trained on deep biological and broad clinical data. We are focusing on sepsis, and are building the largest and fastest growing hybrid biomarker/clinical dataset for sepsis care.
We are a small startup, and are looking for our first data engineer.
Responsibilities:
- Evangelize data best-practices throughout the company
- Build and manage a robust and scalable data pipeline
- Decide on data pipeline architecture and tools
- Build internal tools to empower data scientists to manage and use the data pipeline
- Work closely with data scientist and product engineers to understand the data pipeline requirements
- Make sure data is available and accessible for data science and machine learning
- Help set up our MLOps process, infrastructure, and tools
Apply or questions: jonah.ellman@prenosis.com