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Research Engineer in Data Management and Processing
hace 2 meses
About the Role
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 the Research units at CSSH, and reporting to both the head of the Data Scientists group and the projects' 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.
Requirements
- 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.
Additional Requirements
- 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.
What We Offer
- 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.
How to Apply
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.
