Context And Mission
Within the Life Sciences Department, we are looking for a research engineer to work on a recently granted project to explain the relationship between the vulnerability of Internet users to fake news and the dynamics of propagation and repercussion of these contents on social media.
The project will explore the phenomenon from a holistic and comprehensive perspective by combining experimental research with quantitative and qualitative methods.
The research engineer will be part of a team within this project that will develop tools, methods, and guidelines that can be employed by public health institutions, media organizations, and the general public to counteract the dissemination of fake news.
The work will be carried out at the Social Link Analytics unit (). The unit develops methodologies to determine the social consequences of scientific projects by analyzing large data sets to assess the consequences of the implementation of specific projects, monitoring their progress and assisting in the planning of new projects.
The successful candidate will interact directly with a team in text mining and language processing covering domain application and project development-related aspects.
Develop tools to collect, clean, process, and analyze social media data;
Design a data collection pipeline to build datasets of information related to fake news using various APIs
Preparing multilingual datasets from social media for ML and statistical analysis.
Train NLP models for text classification and topic modelling
Participate in the dissemination of results through visualisations, scientific articles, blogs, and online media posts
Degree in Computer Science, Data analysis or related discipline.
Essential Knowledge and Professional Experience
Experience with software development and at least one of the following :
Experience in Python programming language;
Additional Knowledge and Professional Experience
Experience with Python data science tools (, Pandas, Numpy, Jupyter Notebooks, Scikit-learn, Matplotlib / Seaborn) to obtain, curate, clean, analyze, and visualization of information;
Knowledge of ML and NLP tools ()
Excellent verbal and written Spanish and English. Catalan language skills are also appreciated.
Good communication and teamwork skills to work in a multidisciplinary team.
The position will be located at BSC within the Life Sciences Department
We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, tickets restaurant, private health insurance, fully support to the relocation procedures
Duration : Open-ended contract due to technical and scientific activities linked to the project and budget duration
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 : 01 / 11 / 2022
Applications procedure and process
All applications must be made through BSC website and contain :
A full CV in English including contact details
A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered
In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process.
After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview.
A profile questionnaire as well as a technical exercise may be required during the process.
The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.