Job description
- Oversee the whole chain of collection, transformation, documentation, and dissemination of ISARIC data
- Ensuring ISARIC and G.h data quality and timeliness
- Develop metrics for evaluation and assessment of data quality and timeliness – publishing of guidelines for data science community
- Develop visualisations and analysis code for data quality assessment
- Recruit external data evaluation board
- Run external data evaluation meetings
- Coordinate and oversee data extraction team (including engineers working on parsers)
- Communicate with external data teams in the wider global health landscape (WHO, JHU, OWID)
- Document data extraction process and publish it according to FAIR principles
- Develop resources for users of data (e.g., handbooks)
- Engage with project participants (ISARIC partner sites)
- Oversee human-in-the-loop data quality platform (implemented by UX designer and front end engineer)