Descripción
### 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
The postdoc will work at the intersection of data management, public health monitoring, and applied epidemiological research, and will play a central role in establishing a sustainable, reproducible, and high-quality data pipeline and reporting infrastructure. The postdoc will work closely with the Center for Reproducible Science (CRS), which will provide expert support in designing and implementing core data systems.
Key Responsibilities:
* Develop and maintain automated data pipelines for monthly updates from SwissPrEPared and affiliated sexual health projects
* Clean, structure, and validate large clinical and behavioral datasets from multiple sites and data sources
* Generate dynamic monitoring reports (e.g., visit counts, positivity rates, data quality summaries) for use by clinicians and public health partners
* Coordinate with CRS data stewards to implement reproducible workflows and metadata schemas aligned with national standards (e.g., SPHN)
* Conduct epidemiological analyses on PrEP use, STI trends, and sexual health outcomes
* Co-author peer-reviewed publications and contribute to scientific presentations
* Actively participate in interdisciplinary meetings with the scientific board and broader stakeholder community
Your profile
Essential qualifications:
* PhD in Epidemiology, Biostatistics, Public Health, Data Science, or a related field
* Demonstrated experience in data cleaning, wrangling, and analysis (R or Python preferred)
* Experience working with health or clinical datasets
* Strong organizational and project management skills and an interest in reproducible research practices
* Proven ability to work independently and take ownership from design to delivery, with good judgment on when to seek input and collaborate
* Excellent written and verbal communication in English
* Commitment to ethical, inclusive research and responsible data practices when working with sexual and gender minorities and other vulnerable populations
Desirable:
* Familiarity with metadata standards, SPHN schemas, or FAIR data principles
* Experience working with REDCap or similar systems
* Background in HIV/STI research, sexual health, or digital public health
* German language skills (optional but helpful)