Post-Doctoral Fellow in Epidemiology, Biostatistics, Health Data Science

The Ageing, Cancer, and Disparities (ACADI) Research Unit within the Department of Precision Health, is an international and multidisciplinary team which aims to improve cancer outcomes in older adults by targeting key moments in the cancer journey where inequalities are likely to occur: before diagnosis, during the treatment decision-making process, and the active phase of treatment.
We are seeking a postdoctoral researcher with experience in analysis of large datasets to examine pre- and post-diagnosis healthcare utilisation among patients with cancer in Luxembourg using insurance claims data. The researcher will be also working on other team projects.
The researcher will work under the supervision of Dr Sophie Pilleron, the head of the ACADI team. He/she will benefit from expertise from the international network of Dr Pilleron in geriatric oncology, and epidemiology, and the expertise of other team members.
The researcher will be encouraged to attend training and conferences and supervise master’s students.

Key Accountabilities

• Take a lead role in scientific activities;
• Participate in research unit meetings & organisation;  
• Conduct statistical analyses, publish first- and co-authored manuscripts, present findings at international conferences, and prepare and submit applications to national and international funding agencies in order to establish research independence.

Key Skills, Experience and Qualifications

• PhD in epidemiology, biostatistics, data science or comparable;  
• Ideally, an experience working with insurance claims data;  
• Good writing skills in English;
• Interest in working in an international and multi-disciplinary environment

What we offer

• Researchers have the opportunity to work in an interdisciplinary & international scientific environment, benefitting from diverse exchanges with other students and scientists in and across the department;  
• An environment allowing further training in a variety of health-related domains, fostering the acquisition of transferrable skills around presentation & communication skills, scientific English, and statistical data evaluation.  

Instructions to apply
The candidate must send the following material in English:

• A curriculum vitae mentioning their educational background, and professional experiences and the contact for 2 persons of references we can contact.
• A list of your publications
• A cover letter where the applicant MUST answer the following questions:

1. What motivates you to apply for this position?
2. What is your experience in analysing insurance claims data or big data?
3. What is experience/knowledge in trajectory modeling?

For a fair recruitment process, please, do include any headshot in your application.

Application deadline: 31 October 2025