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Research Engineer in Data Management and Processing
hace 2 meses
The Barcelona Supercomputing Center (BSC) is seeking a highly skilled Research Engineer in Data Management and Processing to join our Computational Social Science Program. As a key member of our team, you will play a pivotal role in facilitating researchers' work, working closely with our Research units, and reporting to the head of the Data Scientists group and project IPs.
Key Responsibilities- Developing workflows for collecting, processing, and curating bibliometric data and textual data related to scientific production and science policies from sources such as the OpenAlex collection and Semantic Scholar.
- Implementing Artificial Intelligence, Machine Learning, Network Analysis, and text classification models to pre-processed corpus including, but not limited to bibliometric data.
- Developing workflows for assuring group analyses replicability and data sharing under Findable, Accessible, Interoperable, and Reusable (FAIR) conditions.
- Developing research tools to help advance research on computational social sciences and humanities in collaboration with the Computer Science and Operations departments of the BSC-CNS.
- Providing support adopting the researchers' code to High Performance Computing.
- Engineering Degree or equivalent.
- MSc in Statistics, Computer Science or similar is highly desirable.
- 4 to 10 years of experience curating, managing and/or analyzing large datasets for research purposes.
- Experience with textual data will be highly desirable.
- Extensive hands-on experience with the R-statistical package and/or Python, particularly for data curation and management.
- Ability to work in both programming languages is desirable.
- Experience in the implementation of Machine Learning models, and Natural Language Processing technologies.
- Experience implementing computational and statistical methods to large-scale datasets.
- Fluency in English is essential.
- Proficiency in Spanish and other European languages would be advantageous.
- Experience working with data for social science purposes.
- Experience applying, fine-tuning and comparing Large Language Models' performance in social science applications will be highly desirable.
- Knowledge of parallel computing is an asset.
- A full-time contract (37.5h/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.
All applications must be submitted via the BSC website and contain a full CV in English, including contact details, and 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.
