Research Engineer AI Models Evaluation and Validation @ OpenEBench (RE3) - AI4S per el Barcelona Supercomputing Center

The Spanish National Bioinformatics Institute (INB) was created in 2003 with the mission to support bioinformatics activities across the country. Since then, it has evolved to keep up with emerging needs - especially in the field of creating, maintaining and extending technological infrastructures that facilitate research activities in the broad domain of Life Sciences. Since 2017, the INB is the Spanish Node of ELIXIR (ELIXIR-ES), the pan-European Research Infrastructure for the management of research data and other digital assets in Life Sciences across 22 national members and 3 observers (https://elixir-europe.org/).

Both the INB Technical Coordination Hub and the INB Computational Node, part of the Life Sciences Department at the Barcelona Supercomputing Center (BSC-CNS), participate and lead different local, national and international - mainly European - projects relate to research data and software management as well as to the set-up of virtual research environments where data and software can be utilised.

As part of the EU-funded ELIXIR-EXCELERATE project, both teams started the development of OpenEBench (https://openebench.bsc.es), the ELIXIR open data platform to support both the technical monitoring of research software - including workflows - and the scientific benchmarking activities led by research communities. Since its inception, OpenEBench has growth to monitor more than 43,000 individual research software entries and support more than 16 different research communities at different maturation stages, including the participation of different funded projects like EUCanImage, EUCAIM, DataTools4Heart, VEIS among others.

Key Duties

•  Landscape the current efforts on AI/ML models evaluation and validation in Life Sciences and work towards the integration into the exciting fora.
• Lead the development of strategies and a generalizable methodology for AI/ML models evaluation and validation in close collaboration with various research communities and relevant projects.
• Drive the adoption of such methodology in the context of OpenEBench preparing the necessary extensions of the platforms.
• Ensure the timely dissemination of results - including partial ones - across the various existing channels at institutional, local, national and international levels.

Data de tancament. Dimarts, 15 Octubre, 2024

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