About
PAGES (Past Global Changes) is an international paleoscience network whose International Project Office is hosted by the University of Bern. As the PAGES community's in-house data scientist, you support working groups in curating, harmonising and analysing paleoscience datasets, and help build the network's products, publications and outreach.
- Data science support to PAGES working groups (curation, harmonisation, ML/AI)
- Management of the Data Stewardship Scholarship
- Co-editor of Past Global Changes Magazine and Horizons
- Contribution to publications (working groups and own research)
- Coordination/reporting on international activities; PAGES representation
About
PAGES (Past Global Changes) is an international paleoscience network whose International Project Office is hosted by the University of Bern. As the PAGES community's in-house data scientist, you support working groups in curating, harmonising and analysing paleoscience datasets, and help build the network's products, publications and outreach.
Your tasks
- Data science support to PAGES working groups (curation, harmonisation, ML/AI)
- Management of the Data Stewardship Scholarship
- Data curation, FAIR/LiPD standards, repository liaison
- Co-editor of Past Global Changes Magazine and Horizons
- Contribution to publications (working groups and own research)
- Coordination/reporting on international activities; PAGES representation
Your profile
- PhD in paleoscience, data science, statistics or a computational field
- Strong R/Python skills; version control and reproducible workflows
- Experience with large, heterogeneous proxy/geological databases
- Skilled at handling incomplete, noisy or unevenly sampled time series
- Excellent communication skills; explains methods to non-specialists
- Excellent written/spoken English (German useful, not required)
- Beneficial: PANGAEA/NOAA/Neotoma, LiPD, age-depth modeling, Adobe Creative Suite
Your Benefits
- Interdisciplinary collaboration
- Healthy corporate culture and good working atmosphere
- Team-oriented work
- Central location in the heart of Bern
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Data Science Officer in Bern Arbeitgeber: Be
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem dynamischen und unterstützenden Umfeld zu arbeiten, das auf Innovation und Teamarbeit setzt. Unsere zentrale Lage ermöglicht es Ihnen, an spannenden Projekten zu arbeiten, während Sie von einer hervorragenden Work-Life-Balance, fairen Vergütungen und umfangreichen Sozialleistungen profitieren. Bei uns haben Sie die Chance, Ihre Fähigkeiten weiterzuentwickeln und aktiv zur Optimierung unserer Produkte beizutragen.
