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BrusselsHybridHours negotiable<3months
This fellowship focuses on advancing the methodology of patient-reported outcomes (PROs) in oncology clinical trials.
- The project will investigate potential bias in PRO findings from open-label studies through synthesis of available literature and analysis of the organization's trial data.
- The fellow will also contribute to other research activities related to PROs and quality of life in cancer research.
- The fellowship position is a 1-year programme (renewable for a maximum of 1 year).
- The fellow will be supervised by a Principal Investigator within a Quality of Life Department, in close collaboration with a co-Principal Investigator at another medical university, within an international, multidisciplinary research environment.
What you do
- Coordinate the day-to-day project activities and meetings.
- Lead in the systematic review/meta-analysis on the extent of bias in PRO findings in open-label trial designs.
- Collaborate with internal teams and international partners.
- Organize and contribute to stakeholder meetings.
- Prepare slides and present project developments at bi-annual group meetings.
- Co-author publications and present findings at international conferences.
- Support other scientific and methodological research activities related to PROs and clinical trials.
What they ask
- A master’s degree or PhD in statistics or a relevant methodological field.
- Experience with meta-analysis, systematic reviews and a strong methodological background in empirical research.
- Experience with statistical software package (e.g., SAS or R).
- Interest in clinical trial design and quality of life research.
- Excellent writing skills, with the ability to synthesize complex information clearly.
- Excellent communication skills, both orally and in writing, in English.
- Good organizational skills and the ability to work independently.
- Collaborative mindset and ability to work effectively in a team environment.
Desirables.
- Experience writing guidelines, scientific publications, abstracts, and grant applications.
- Experience in health-related outcome measures, quality of life research, and patient-reported outcomes.
- Experience in oncology, clinical trials and cancer-related symptoms or outcomes research.
- Experience with R statistical software.
How to apply
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