Now Hiring: Data Science and AI Expert on NLP at Barcelona Supercomputing Center, Spain

The NLP4BIA group at Barcelona Supercomputing Center is hiring a Research Engineer with experience in Language Technologies and Deep Learning to work on international projects related to clinical Language Models, multilingual NLP, benchmarking of language technology solutions and predictive content mining. Apply now.
The Natural Processing for Biomedical Information Analysis (NLP4BIA) group at Barcelona Supercomputing Center (BSC) is looking for a Research Engineer with experience in Language Technologies and Deep Learning. The candidate will be involved in technical work related to international projects, working on topics related to clinical Language Models, multilingual NLP, benchmarking of language technology solutions and predictive content mining. The position offers the opportunity to advance the state of the art of biomedical language models and NLP methods in a multidisciplinary environment alongside AI experts, computational linguists, clinical experts, and other engineers.

Responsibilities:

• Predictive NLP model development
• Pre-training of medical language models for healthcare application scenarios and tasks
• Technical project coordination
• Implementation and deployment of clinical NLP solutions
• Documentation and Reporting

Requirements:

• University degree in Computer Science, Computational Linguistic, or engineering discipline
• Demonstrated experience in Natural Language Processing technologies
• Experience in developing and training models using transformer architectures
• 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
• Advanced programming skills in Python
• Experience in software development resources (Git)

Tags: Data Science, AI Expert, NLP, Barcelona Supercomputing Center, Spain, Research Engineer, Language Technologies, Deep Learning, Clinical Language Models, Multilingual NLP, Predictive Content Mining, Transformer Architectures, Deep Learning Libraries, Python, Git