EMPLEO | Climate and Health Data Scientist (RE2)_Barcelona Supercomputing Center

DESCRIPTION:

The Global Health Resilience (GHR) group led by ICREA Research Professor Rachel Lowe at the Barcelona Supercomputing Center, BSC-CNS, is seeking a highly motivated data scientist to co-create robust harmonised datasets, R packages and dashboards for decision-support tools to enhance surveillance, preparedness, and response to global health challenges, including climate-sensitive infectious diseases.

KEY DUTIES:

• Co-create decision support systems to enhance public health resilience to climate change
• Conduct data audits of existing epidemiological, health system and environmental information
• Process, clean, and verify the integrity of data to be used for analysis
• Perform Extraction, Transform and Load (ETL) processes
• Harmonise multi-source, multi-scale datasets (e.g. health surveillance, demographic, climate, hydrological, socio-economic, mobility, etc.)
• Develop automated data pipelines for operational decision support tools
• Conduct exploratory statistical analyses and create exploratory data analysis reports
• Produce dashboards and design innovative ways to visualise data
• Develop training materials for researchers, data managers and stakeholders
• Communicate research results at scientific conferences and in refereed journals
• Contribute to applications for competitive grants and projects
• Support administrative duties of the group, including arranging meetings, taking minutes, writing deliverable and mission reports, maintaining Wiki/webpages, etc.
• Engage with local stakeholders, data managers and policy makers
• Develop and maintain open-source data and modelling tools, e.g. R packages
• Coordinate data science activities within and across groups
• Mentor junior data scientists

REQUIREMENTS:

• Education BSc and MSc in Statistics, Mathematics, Computer Science, Meteorology, Environmental Sciences, Physics, Public Health Geography, Demography, Epidemiology, or equivalent Essential Knowledge and Professional
• Experience in data management and statistical analyses Strong programming skills in a suitable language (e.g., R, Python)
• Experience with version control systems (e.g., git)
• Experience using data visualisation packages, mapping tools and dashboard creation (e.g., Shiny, Tableau, Power BI)
• Excellent written and verbal communication skills in English, demonstrated in scientific publications and/or well documented repositories Ability to work in a collaborative professional environment within a transdisciplinary and international team
• Experience with Linux environments and scripting languages (e.g., bash)

CONDITIONS:

• The position will be located at BSC within the Earth Sciences Department
• 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, support to the relocation procedures
• Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
• Holidays: 22 days of holidays + 6 personal days + 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

RECRUITMENT PROCESS:

The selection will be carried out through a competitive examination system (“Concurso-Oposición”).

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 the 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.

Deadline: The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.  

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