Research Assistant for Literature Review on Antimicrobial Resistance in Animals and Food Products 80 %
- Entreprise
- Universität Zürich
- Lieu
- Zürich
- Date de publication
- 28.04.2025
- Référence
- 244962
Description
### The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! ###
Your responsibilities
You will contribute to a research project funded by the Digitalization Initiative of the Zurich Higher Education Institutions (DIZH), in collaboration with the Zurich University of Applied Sciences. The project uses text mining tools to automate data extraction from scientific publications reporting point prevalence surveys on AMR (see resistancebank.org). These data will support the creation of geographic AMR prevalence maps across low- and middle-income countries. The outputs aim to inform the activities and patients of the University of Zurich's Travel Clinic.
Specific tasks include:
* Conducting systematic literature reviews
* Extracting and annotating data from point prevalence surveys on AMR
* Supporting the development and training of text and image mining tools
Your profile
We seek an enthusiastic and detail-oriented candidate with a strong interest in evidence generation for policy. Applicants must hold a Master's degree in microbiology, veterinary sciences, pharmacy, food science, or a related field, and demonstrate excellent English communication skills (written and oral).
**Essential Skills and Experience**
* Experience conducting systematic reviews, ideally following PRISMA guidelines
* Understanding of microbiology techniques, especially antimicrobial susceptibility testing (AST) and its interpretation (e.g., CLSI or EUCAST standards)
* Experience with the R programming language
* Proficiency in PDF editing
* Familiarity with reference management tools (e.g., Zotero, Mendeley)
**Desirable (but not required)**
* Ability to read one or more of the following languages: Mandarin Chinese, Spanish, Portuguese, Arabic, Russian, or French
* Experience developing Shiny apps (e.g., for resistancebank.org)
Your responsibilities
You will contribute to a research project funded by the Digitalization Initiative of the Zurich Higher Education Institutions (DIZH), in collaboration with the Zurich University of Applied Sciences. The project uses text mining tools to automate data extraction from scientific publications reporting point prevalence surveys on AMR (see resistancebank.org). These data will support the creation of geographic AMR prevalence maps across low- and middle-income countries. The outputs aim to inform the activities and patients of the University of Zurich's Travel Clinic.
Specific tasks include:
* Conducting systematic literature reviews
* Extracting and annotating data from point prevalence surveys on AMR
* Supporting the development and training of text and image mining tools
Your profile
We seek an enthusiastic and detail-oriented candidate with a strong interest in evidence generation for policy. Applicants must hold a Master's degree in microbiology, veterinary sciences, pharmacy, food science, or a related field, and demonstrate excellent English communication skills (written and oral).
**Essential Skills and Experience**
* Experience conducting systematic reviews, ideally following PRISMA guidelines
* Understanding of microbiology techniques, especially antimicrobial susceptibility testing (AST) and its interpretation (e.g., CLSI or EUCAST standards)
* Experience with the R programming language
* Proficiency in PDF editing
* Familiarity with reference management tools (e.g., Zotero, Mendeley)
**Desirable (but not required)**
* Ability to read one or more of the following languages: Mandarin Chinese, Spanish, Portuguese, Arabic, Russian, or French
* Experience developing Shiny apps (e.g., for resistancebank.org)