Research Engineer Clinical LLMs Position at Barcelona Supercomputing Center
hace 3 semanas
Job Reference: Research Engineer Clinical LLMs Position at Barcelona Supercomputing Center
Position: Research Engineer Clinical LLMs - AI4S
About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe.
Mission: The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress.
Context And Mission: The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text mining solutions applied primarily to biomedical and clinical data.
Key Duties:
- Corpus construction and design: Development of annotation scheme, constancy analysis, design and annotation of Gold Standard and Silver Standard corpora and labeled dataset for training and evaluation of supervised AI and NLP techniques
- AI model benchmarking: Definition of robust evaluation scenarios for AI model evaluation covering standard quantitative and qualitative evaluation metrics and bias mitigation
- NLP model development: Development of multilingual information extraction models in the biomedical field including mention extraction, linking of terms to controlled terminologies. Pre-training of crosslingual large language models for healthcare.
- Technical project coordination: Coordinate technical contributions from different partners in technological projects
- Documentation and Reporting: Create technical reports and project documentation in both English and Spanish
- Scientific writing: Collaborate in drafting technical research proposals and writing scientific papers.
Requirements:
- Education: Degree in Computational Linguistic, or a related field.
- Master's degree: Master's degree in Computational Linguistic, or a related field will be advantageous.
- Essential Knowledge and Professional Experience: Demonstrated experience in Natural Language Processing technologies (publication track record or projects in the field of Deep Learning/NLP). Ability to design, implement, and evaluate existing biomedical corpora and derived NLP models.
- Solid knowledge: Solid knowledge of information extraction techniques, including Named Entity Recognition (NER) or Entity Linking.
- Practical experience: Practical experience with deep learning libraries (e.g. Pytorch, TensorFlow, Spacy, Transformers).
- Knowledge of deep learning methods: Knowledge of deep learning methods for pre-training large language models using transformer architectures.
- Advanced programming skills: Advanced programming skills in Python.
Additional Knowledge and Professional Experience:
- Fluency in English: Fluency in English is essential.
- Proficiency in Spanish: Proficiency in Spanish and other European languages would be advantageous.
- Competences: Excellent communication and presentation skills. Strong technical writing skills. A proactive mindset, with creativity to design new solutions. Ability to work independently, in a team and in a multi-cultural environment.
Conditions:
- Position: The position will be located at BSC within the Life Sciences Department.
- Contract: We offer a full-time contract (37.5h/week), a good working environment, flexible working hours, extensive training plan, restaurant tickets, private health insurance.
- Duration: 4 years.
- Holidays: 23 paid vacation days plus 24th and 31st of December.
- Salary: 42.000,00 €.
- Starting date: ASAP - the incorporation for this vacancy must be before the 16th of December 2024.
Applications procedure and process:
- All applications: All applications must be submitted via the BSC website and contain: A full CV in English, including contact details. A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered.
- Selection process: The selection will be carried out through a competitive examination system.
OTM-R principles for selection processes:
- BSC-CNS: BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R).
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