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Paulina Nätscher

@paulinantscher

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Data analyst at University of Lille integrating and analysing complex research datasets with R, Python, and SQL.

France

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At University of Lille, I coordinate research activities and analyse and model large datasets in palaeobiology. I also communicate findings to specialist and public audiences.

At Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, I collected, cleaned, and analysed complex datasets at million-record scale using R and Python. I sourced and quality-assessed data for two meta-analyses under PRISMA standards, applying imputation and targeted literature review.

My work has included building reliable relational databases, using statistical methods such as regression and spatial statistics, and supporting interdisciplinary research. I’ve also coordinated projects, secured c. €20,000 in DFG funding, and supervised or co-supervised students.

Experience

Work history, roles, and key accomplishments

Current

Postdoctoral Researcher

Current

University of Lille

Jun 2025 - Present (1 year 5 months)

Independently coordinate research activities and collaborate within international, interdisciplinary teams. Perform statistical analysis and modelling of large datasets, communicate results to specialist and public audiences, and supervise master's students.

Data Analysis Statistical Modeling R Python SQL Teamwork Supervision

Coordinator, DFG Priority Programme Antarctic Research

University of Rostock

Feb 2025 - May 2025 (3 months)

Supported senior leadership with meeting preparation, chairing sessions, and drafting recommendations. Managed funding administration, organized international conferences, and handled websites and social media.

Project Coordination Event Management Funding Administration Communication Skills Social Media

Visiting Scientist

Alfred Wegener Institute

Oct 2024 - Jan 2025 (3 months)

Developed interdisciplinary, data-driven research approaches on climate-change impacts, applying statistical methods to identify long-term patterns in complex environmental and climate data.

Data Analysis Statistical Methods Climate Data Environmental Data R Python

Research Associate / Doctoral Researcher

Friedrich-Alexander-Universität Erlangen-Nürnberg

Dec 2019 - Dec 2024 (5 years)

Led and managed interdisciplinary research projects, including timeline, budget, and quality control. Sourced and quality-assessed data for meta-analyses, performed statistical analyses on million-record datasets, and secured third-party funding.