Post-Doctoral Research Position in Digital & Computational Toxicology

Post-Doctoral Research Position in Digital & Computational Toxicology

University of Basel

Basel, Switzerland

The Swiss Centre for Applied Human Toxicology (SCAHT), associated to the University of Basel, is seeking a highly motivated Postdoctoral Researcher in Digital & Computational Toxicology to strengthen SCAHT's activities in digital transformation of human-relevant and regulatory toxicology to next-generation risk assessment. We are looking for a scientist with strong background in toxicology and expertise in computational toxicology, data science, artificial intelligence and data governance. Ideally, the candidate has experience in applied science or a keen interest in applying their experience to applied research goals and questions. The successful candidate will contribute to the development of innovative digital infrastructures, computational workflows and AI-enabled tools that support the national and international toxicology community.

Your position

• Develop and implement FAIR-compliant data management strategies, standards and data management plans;
• Build, curate and maintain toxicological datasets and digital knowledge resources from public databases, scientific literature, omics datasets and regulatory resources;
• Develop and apply computational methods for analysing, integrating and visualising complex toxicological datasets;
• Evaluate, implement and further develop AI- and machine learning-based approaches for data curation, analysis and knowledge extraction;
• Develop and integrate Adverse Outcome Pathways (AOPs) and other mechanistic knowledge frameworks to support biology-informed risk assessment;
• Contribute to national and international collaborative research projects and grant proposals;
• Publish scientific results in leading peer-reviewed journals and present findings at international conferences;
• Support training activities, knowledge transfer and collaboration within the academic, regulatory and industrial landscape.

Your profile

We welcome applications from highly motivated researchers with a strong background and passion for computational and data-driven toxicology.

Essential qualifications

• PhD in Toxicology, Computational Toxicology, Data Science, Bioinformatics, Computational Biology or a related discipline;
• Demonstrated expertise in toxicology, or a strong interest in applying computational methods to toxicological research;
• Experience in computational data analysis using Python and/or R, including the handling, curation and integration of large biological or toxicological datasets;
• Experience in handling, curating and integrating large biological or toxicological datasets;
• Knowledge of database management, FAIR data principles and data governance;
• Excellent analytical and problem-solving skills;
• Excellent written and spoken English with strong communication skills.

Desirable qualifications

• Experience with machine learning, artificial intelligence and/or natural language processing;
• Experience with reproducible computational research using tools such as Git, Docker and workflow management systems;
• Familiarity with public toxicological databases (e.g. AOP-Wiki, ToxCast, PubChem or ChEMBL);
• A track record of scientific publications;
• Knowledge of German and/or French.