Data Science Officer 80-100%, fixed-term 4 yrs; max. 2 yrs extension, Bern
UniBE is agile.
With us, you can expect flexible working models and abundant opportunities for independent work.
Start Date or by arrangement
Employment Relationship 80-100%, fixed-term 4 yrs; max. 2 yrs extension
Institution / Workplace PAGES Past Global Changes Bern
With us, you create value.
For yourself and for society.
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
Working at the University of Bern
The University of Bern not only offers exciting tasks but also an environment that actively promotes development, diversity, and equal opportunities. Discover what makes us stand out as an employer and how you can grow with us.
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Data Science Officer in Bern Arbeitgeber: CAS in Medication Safety University of Bern
Die Universität Bern ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten. Mit einem starken Fokus auf Forschung und Entwicklung fördern wir eine offene und kollaborative Arbeitskultur, die Ihre berufliche Weiterentwicklung unterstützt. Zudem profitieren Sie von einer attraktiven Lage in Zürich, Bern und Basel, die nicht nur kulturelle Vielfalt, sondern auch zahlreiche Freizeitmöglichkeiten bietet.
Kontaktdaten:
CAS in Medication Safety University of Bern Recruiting-Team
