Research Scientist in causal inference - clinical research 60-100%
Universitätsspital Basel
Publication date:
02 November 2024Workload:
60 – 100%- Place of work:Basel
What you will be doing
- Focus on the development and validation of innovative statistical methods for causal inference by allowing a flexible modeling of spatially correlated data
- Data simulation
- Statistical analysis using Robin's G-methods
- Bayesian spatial modeling
- Leading scientific publications
- Assist in statistical planning and analysis of epidemiological and clinical research projects within the division of Clinical Epidemiology
Your profile
- PhD in statistics, mathematical epidemiology, epidemiology with a strong analytical component, or equivalent
- Strong programming skills in R
- Experience in Bayesian modeling and/or parametric causal inference would be an asset
- Excellent oral and written knowledge of English
- Ability to work independently and efficiently
Your benefits at the USB
- Attractive salary policy and exceptional social benefits
- Discounts for shopping, sport and recreation
- Support during relocation and apartment hunting
- 25 vacation days, plus 5 flexible free days
- Support in further training and education, plus career planning
- Campus in the heart of Basel and the tri-border region
- Comprehensive childcare options
- Free-of-charge sport and fitness program
About the USB
There are many reasons to come work for us: Working at the USB primarily means being part of a dedicated team of over 7500 employees from around 90 nations. Our lively day-to-day lives are characterized by forward-looking research, cutting-edge medicine and the transfer of knowledge at the highest level. In addition, there is a modern organizational culture, interdisciplinarity, inspiring innovation and a wide range of training and professional development opportunities.
Do you want shape the hospital of the future together with us? Then join us! #TeamUSB