Contexte
is one of five Swiss university hospitals, and a leading institution in clinical care, medical research and academic training. The Cardiology Service at CHUV conducts patient-oriented research with direct clinical and public helath impact, and offers a dynamic academic environment with strong methodological ecosystem and access to an extensive national and international research network.
This PhD position is embedded in SwissCardIA, a large, prospective, population-based cohort study dedicated to individualized primary prevention of coronary atherosclerotic disease. SwissCardIA will recruit n=2’ asymptomatic, statin-naïve adults aged 50-69 years from the general population and combine:
1. Detailed clinical and socio-demographic phenotyping
2. Quantitative coronary CT angiography and complementary cardiovascular imaging
3. Longitudinal lifestyle monitoring using wearable devices (physical activity, sleep, heart rate dynamics)
4. Advanced blood-based biomarkers, including multi-omics and genetic risk scores.
This study is a collaboration between the Cardiology service at CHUV and data scientists at Mission
The PhD candidate is expected to propose and develop an original, hypothesis-driven research project within SwissCardIA, targeting one or several of these open questions, in alignment with their personal expertise and scientific interests. The project should demonstrate clear scientific ambition, methodological rigor, and potential impact on cardiovascular prevention.
Project and Activities
The candidate will be fully embedded in the research activities of the SwissCardIA cohort. All activities, including medical assessments, are conducted within a research framework and contribute directly to data generation and scientific output.
Activities include:
5. Participation in participant recruitment, follow-up, and study conduct
6. Conduct and supervision of medical study visits as part of standardized research data collection
7. Review and interpretation of clinical reports and cardiovascular imaging results in accordance with the study protocol and GCP
8. Contribution to the medical and scientific oversight of cohort operations
9. Development and execution of an original PhD research project based on the SwissCardIA data
10. Advanced statistical data analysis
11. Critical literature reviews and meta-analyses
12. Active participation in scientific dissemination, including the preparation of abstracts, presentations at national and international conferences, and publications in peer-reviewed journals
13. Contribution to academic training and higher education, including involvement in the co-supervision of Master’s thesis students and support of research training activities within the group
14. Close collaboration with cardiologists, radiologists, epidemiologists, engineers and data scientists.
The candidate will join an interdisciplinary environment bridging clinical cardiology, imaging, computational science, and public health, with access to one of the most comprehensive cardiovascular prevention datasets in the world.
Profil
We are seeking a highly motivated and qualified physician with a strong commitment to an academic research career and the ambition to address unresolved questions in cardiovascular prevention.
Required qualifications:
15. Medical Doctor (MD) with a Swiss federal medical diploma or an equivalent degree recognized in Switzerland, eligible to practice medicine in Switzerland
16. Knowledge of Good Clinical Practices
17. Excellent written and oral communication skills in French
18. Good written and oral communication skills in English (C1 level or above)
19. Strong skills in academic research (literature review, etc)
20. Strong interest in biostatistics, epidemiology, or data science applied to medicine
21. Ability to work independently and collaboratively in a multidisciplinary team
Applicants are expected to demonstrate relevant experience, ideally supported by a scientific track record, in one or more of the following areas:
22. Cardiovascular prevention or public health
23. Cardiovascular imaging
24. Lifestyle research (physical activity, sleep, nutrition)
25. Precision medicine
26. Wearable technologies and digital health
27. Advanced biomarkers (multi-omics)
28. Predictive modelling or machine learning in biomedical research
Importantly, candidates should apply with a PhD research proposal or research axis they wish to pursue within the established study framework.
The selected candidate will be embedded in a large, multidisciplinary scientific environment and will benefit from PhD co-supervision by a domain-specific expert from the SwissCardIA scientific consortium, selected according to the chosen research focus.
Nous offrons
The candidate will be employed by CHUV and enrolled for a