Data Science Officer

UniBE is a dynamic organization that offers flexible working models and opportunities for independent work. The Data Science Officer will support the PAGES working groups in data science tasks, including curation, harmonization, and machine learning/AI applications. The role involves managing the Data Stewardship Scholarship, ensuring data curation adheres to FAIR/LiPD standards, and liaising with repositories. Additionally, the officer will co-edit the Past Global Changes Magazine and Horizons, contribute to publications, and coordinate international activities, representing PAGES. The main responsibilities include supporting data science tasks for PAGES working groups, managing the Data Stewardship Scholarship, and ensuring data curation meets FAIR/LiPD standards. The officer will also co-edit magazines, contribute to publications, and handle international coordination and reporting. The ideal candidate will have a PhD in paleoscience, data science, statistics, or a related computational field. Strong skills in R/Python, version control, and reproducible workflows are essential. Experience with large, heterogeneous proxy/geological databases and handling incomplete, noisy, or unevenly sampled time series is required. Excellent communication skills, particularly the ability to explain methods to non-specialists, are crucial. Proficiency in written and spoken English is mandatory, with German being useful but not required. Nice-to-have skills include experience with PANGAEA/NOAA/Neotoma, LiPD, age-depth modeling, and Adobe Creative Suite. What the role asks for: - 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 - Handling incomplete, noisy or unevenly sampled time series - Excellent communication skills - Excellent written and spoken English