Data Science Officer

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Start Date 01.01.2027 or by arrangement
Employment Relationship 80-100%, fixed-term 4 yrs; max. 2 yrs extension
Institution / Workplace PAGES Past Global Changes Bern
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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
More Information
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Application Process

Your Benefits

Benefit
Interdisciplinary collaboration
Benefit
Healthy corporate culture and good working atmosphere
Benefit
Team-oriented work
Benefit
Central location in the heart of Bern
Other benefits

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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Application and Contact

Please send your application documents by 02.11.2026 in ONE pdf, including a cover letter, a CV with a full output list (3-pages max.), a one-page description of a data science project you have led (with a link to the associated code or dataset if public), and contact details for three referees, by e-mail to pages@pages.unibe.ch, with the subject line “Application – Data Science Officer PAGES"

Questions about the position?

Please contact Dr. Marie-France Loutre, PAGES Executive Director (marie-france.loutre@unibe.ch)

Questions about the application?

Please contact Dr. Marie-France Loutre, PAGES Executive Director (marie-france.loutre@unibe.ch)

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