Data Science Officer

**UniBE is agile.** With us, you can expect flexible working models and abundant opportunities for independent work. **Start Date** 01.01.2027 or by arrangement **Employment Relationship** fixed-term 4 yrs; max. 2 yrs extension **Institution / Workplace** [PAGES Past Global Changes](https://pastglobalchanges.org/) **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. **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 [email protected], with the subject line "Application -- Data Science Officer PAGES" **Questions about the position?** Please contact Dr. Marie-France Loutre, PAGES Executive Director ([email protected]) **Questions about the application?** Please contact Dr. Marie-France Loutre, PAGES Executive Director ([email protected])