PhD in Statistical Models for Synthesis of Human and Animal Studies
PhD in Statistical Models for Synthesis of Human and Animal Studies
PhD in Statistical Models for Synthesis of Human and Animal Studies
PhD in Statistical Models for Synthesis of Human and Animal Studies
Universität Bern
Fach- und Hochschulen
Bern
- Art der Anstellung: Vollzeit
- 88.000 CHF – 114.500 CHF (von XING geschätzt)
- Vor Ort
PhD in Statistical Models for Synthesis of Human and Animal Studies
Über diesen Job
PhD in Statistical Models for Synthesis of Human and Animal Studies
Institute of Social and Preventive Medicine (ISPM), University of Bern, Switzerland
Duration: 3 years
Start date: Negotiable, but as soon as possible
We are seeking an outstanding researcher to join our international, interdisciplinary project GALENOS (www.galenos.org.uk), the Global Alliance for Living Evidence on Anxiety, Depression and Psychosis, which aims to improve early scientific discovery by integrating evidence from human and animal studies. GALENOS is funded by the Wellcome Trust.
The successful candidate will mainly work on statistical methods for the synthesis of data from human and animal studies in mental health to prioritise research and guide discovery of new therapeutic targets.
Key Responsibilities
- Perform original research on developing statistical methods for predicting the effects of medical interventions.
- Analyze real data collected from human and animal experiments.
- Develop easy-to-use online tools that will implement developed methods.
- Collaborate with statisticians, systematic review methodologists, laboratory researchers, and experts with lived experience.
- Prepare high-quality publications, contribute to methodological tutorials, and present findings at international conferences.
Candidate Profile
- MSc (completed or near completion) in biostatistics, statistics, or another quantitative discipline such as computational biology, biomedical sciences, applied mathematics, mathematical physics, or computer science.
- Programming skills in R (preferably), or another programming language.
- Experience with Bayesian methodology is highly advantageous; familiarity with meta-analysis is desirable.
- Excellent written and oral communication skills in English.
- Ability to work both independently and collaboratively in a multidisciplinary, international team.
What We Offer
- Opportunity to contribute to cutting-edge methodological research at the interface of human and animal health.
- A dynamic, collaborative, and supportive working environment.
- Mentorship and career development opportunities.
- Competitive salary and benefits according to institutional guidelines.
Application
Please send the following documents as a single PDF file to Natalie Studer, hr@ispm.unibe.ch:
- A cover letter outlining your motivation and relevant experience.
- A curriculum vitae (CV), including a list of publications.
- The contact details of one academic referee.
Applications will be reviewed on a rolling basis until the position is filled.
For inquiries, please contact: Prof. Georgia Salanti at georgia.salanti@unibe.ch.
For inquiries, please contact: Prof. Georgia Salanti at georgia.salanti@unibe.ch.
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