Postdoctoral Research Fellow (Bioinformatics and AI-Assisted Evidence Synthesis) / Tutkijatohtori (
About this role
Postdoctoral Research Fellow (Bioinformatics and AI-Assisted Evidence Synthesis) / Tutkijatohtori (Bioinformatiikka ja tekoƤlyavusteinen evidenssisynteesi)
Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en .
We are looking for a Postdoctoral Research Fellow in the field of bioinformatics, AI-assisted evidence synthesis and computational mechanistic toxicology.
Job description
We are seeking a computationally strong and independent Postdoctoral Research Fellow to shape computational work in the MAT group. The position will be primarily connected to the project EIRIS: Endocrine-disruption-Induced Endometriosis and Reconstruction of Integrated Signaling, while also contributing to broader group activities working at the interface of biomedical data science, systems biology, computational toxicology, and regulatory science (applied toxicology).
EIRIS is a 4-year project that investigates how environmental chemicals may disrupt endocrine mechanisms leading to endometriosis, a common and under-researched condition affecting approximately 10-15% of women of reproductive age. The project aims to integrate fragmented biomedical evidence into structured resources and predictive models that support non-animal approaches to chemical safety assessment and women's health research.
The position is hosted by the Mechanistic and Applied Toxicology (MAT) group, a newly established research group led by Dr Alexandra Schaffert at the Faculty of Medicine and Health Technology, Tampere University. MAT develops mechanistic approaches for chemical safety assessment, contributing to the shift from animal-based toxicology toward Next-Generation Risk Assessment and non-animal methods (NAMs). We combine in vitro molecular biology, mass-spectrometry-based proteomics, bio