Researcher/Postdoc for development of NGS-based Wastewater Surveillance Frameworks

This position requires an independent researcher or postdoctoral candidate with a doctoral degree, emphasizing advanced expertise in next-generation sequencing (NGS) technologies applied to wastewater surveillance frameworks. The role demands a strong background in molecular biology, genomics, and bioinformatics, particularly in designing, developing, and optimizing NGS-based methods for environmental monitoring. Candidates should possess extensive experience in sample processing, nucleic acid extraction, library preparation, sequencing workflows, and data analysis pipelines relevant to wastewater samples. Proficiency in handling complex datasets, statistical analysis, and interpretation of sequencing results to track microbial or viral contaminants in wastewater is essential. The role also involves developing frameworks that integrate sequencing data with epidemiological or environmental models, requiring interdisciplinary collaboration skills. A solid understanding of microbiology, environmental science, and public health surveillance principles is important. Experience with software tools and programming languages commonly used in bioinformatics, such as R, Python, or specialized NGS analysis platforms, is expected. The candidate should demonstrate the ability to work independently, manage research projects, and contribute to scientific publications. Strong communication skills for reporting findings and collaborating with multidisciplinary teams are also critical. Overall, this role suits a highly educated and experienced researcher focused on advancing NGS methodologies for environmental and public health applications, particularly in wastewater-based epidemiology.