Research Engineer - NLP for Biomedical Information Analysis (RE1)
Job Reference: 671_25_LS_NLPBIA_RE1
Job Title: Research Engineer - NLP for Biomedical Information Analysis (RE1)
Closing Date: Wednesday, 26 November 2025
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.
Context and Mission
The NLP for Biomedical Information Analysis Unit of the BSC-CNS aims to promote the development of natural language processing and machine translation resources in the biomedical field in Spanish, Catalan and other co‑official languages.
The candidate will work within an international project integrated into a team of researchers working on topics related to deep learning approaches applied to information extraction (NER), entity linking and language modelling on biomedical documents.
The candidate will have the opportunity to work on developing cross‑lingual NLP systems and applying cutting‑edge technologies in NLP and language modelling applied to the biomedical field. They will also have the opportunity to explore HPC applied to NLP.
Este contrato se encuentra financiado por el proyecto “TERESIA. Portal de acceso a Terminologías en España y servicios de Inteligencia Artificial”, promovido por la Secretaría de Estado de Digitalización e Inteligencia Artificial (SEDIA), cuyos fondos provienen del Ministerio para la Transformación Digital y de la Función Pública, financiado por la Unión Europea-NextGenerationEU.
Key Duties
* Develop and implement algorithms for extracting structured information from biomedical literature and real medical records.
* Collaborate with domain experts to identify and prioritize research questions.
* Analyze and interpret complex data sets.
* Write and maintain efficient and reusable code.
* Present findings at conferences and in peer‑reviewed publications.
Requirements
* Education
o Master’s degree (or equivalent qualification) in Computer Science or Artificial Intelligence
* Essential Knowledge and Professional Experience
o Good programming skills in Python
o Experience in machine learning and neural networks (e.G. Pytorch, Spacy, Transformers)
* Additional Knowledge and Professional Experience
o Knowledge of and preferably hands‑on experience with natural language technologies such as Named‑Entity Recognition, Entity Linking, Semantic Text Similarity, and Machine Translation.
* Competences
o Ability to work within a team and independently, and to manage multiple tasks effectively.
o Ability to work under set deadlines.
o Ability to efficiently familiarize yourself with new tools and topics.
o Good problem‑solving and analytical skills.
Conditions
* The position will be located at BSC within the Life Sciences Department.
* We offer a part‑time contract (20h/week), a good working environment, a highly stimulating environment with state‑of‑the‑art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures.
* Duration: Until 31/03/2026.
* Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement.
* Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona.
* Starting date: ASAP.
Applications Procedure and Process
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. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
The recruitment process consists of two phases:
* Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. – 40 points.
* Interview phase: The highest‑rated candidates at the curriculum level will be invited to an interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. – 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
Seniority Level
* Entry level
Employment Type
* Part‑time
Job Function
* Engineering and Information Technology
Industries
* Research Services
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