Research Assistant in data integration and network analysis (m/f/d) 100%
Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems.
Research Assistant in data integration and network analysis (m/f/d) 100%
The Department of Environmental Toxicology (Utox) has an opening for a
Project background: Characterizing diverse chemical impacts on human and non-human organisms is a principal challenge of toxicology. Further, gene-environment interactions may lead to different responses within the same species. Emerging computational methods like multi-level data integration and adverse outcome pathway (AOP) frameworks represent opportunities to expand understanding of chemical impacts on different species and fill data gaps. Further, these approaches may provide opportunities for cross-species extrapolation of toxicity mechanisms.
The main responsibility of the successful candidate is to lead a multi-source, multi-level data integration project. This project will include forming networks of chemical toxicity mechanisms from molecular initiating events to adverse outcomes following the AOP framework. Tasks include data mining, web scraping, harmonization of disparate data sources using diverse ontologies, and statistical analysis of resulting networks/linkages. Machine learning may also be incorporated into the project. This project involves working with and integrating diverse data types, managing big data files, data visualization, and analyzing exploratory data linkages. This position is purely computational and is for an individual who enjoys programming.
As candidate for this project you should have a Masters in environmental sciences, toxicology, bioinformatics, or similar. Experience in programming (R or Python preferred) is essential. Experience with cloud computing and statistics would be a benefit, and know-how in genetics would be an additional asset. Solid work ethic, mature teamwork attitude, and good English skills are essential.
Eawag is a modern employer and offers an excellent working environment where staff can contribute their strengths, experience and ways of thinking. We promote gender equality and are committed to staff diversity and inclusion. The compatibility of career and family is of central importance to us. For more information about Eawag and our work conditions, please consult www.eawag.ch and www.eawag.ch/en/aboutus/working/employment.
Deadline for applications is 27 September 2024 or until the position is filled. Your application should include a cover letter explaining your research background and motivation to apply for this position, a CV with list of publications, copies of your academic qualifications and contact information for two references. This position is for a candidate with a MSc, but no PhD. The project runs for 18 months; the starting date is upon agreement.
For further information, please contact Dr Marissa Kosnik.
We look forward to receiving your application. Please send it through this webpage, as any other way of applying will not be considered. A click on the button below will take you directly to the application form.
Eawag: Swiss Federal Institute of Aquatic Science and Technology
À propos de l'entreprise
Dübendorf / Kastanienbaum
