Research Engineer Clinical Llms

hace 3 meses

Barcelona, España Barcelona Supercomputing Center (BSC) A tiempo completo

**Job Reference**:

- 549_24_LS_NLP_RE2**Position**:

- Research Engineer Clinical LLMs (RE2) - AI4S**Closing Date**:

- Thursday, 03 October, 2024**Reference**: 549_24_LS_NLP_RE2**Job title**: Research Engineer Clinical LLMs (RE2) - 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, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

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We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.**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. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis.

The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.

"La financiación de estas actuaciones/becas y contratos, procede del Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, en el marco de la Invitación General de la entidad pública empresarial Red.es para participar en los programas de atracción y retención del talento dentro de la Inversión 4 del Componente 19 del Plan de Recuperación, Transformación y Resiliencia.**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 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 of information extraction techniques, including Named Entity Recognition (NER) or Entity Linking.
- Practical experience with deep learning libraries (e.g. Pytorch, TensorFlow, Spacy, Transformers )
- Knowledge of deep learning methods for pre-training large language models using transformer architectures (like BERT, RoBERTA, DeBERTA, GPT, Bloom) as well as learning to implement LLMs.
- Advanced programming skills in Python.
- Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Competences
- Excellent communication and presentation skills.
- Strong technical writing skills.
- In terms of personality, we are looking for someone who enjoys working in a wide range of areas and adapts qu

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