Publié: 03 juin 2024
Freiburg
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Durée indéterminée
Université de Fribourg
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Particularité
The Departements of Medicine and Specialties (Hospital of Fribourg) and the Institute of Family Medicine (University of Fribourg) are looking for a health data scientist/biostatistician to lead the statistical expertise across both groups.
We offer an opportunity for our lead statistician to engage in diverse interdisciplinary research projects in a budding environment. We provide opportunities to explore avenues for career advancement, with the potential to evolve into a more senior leadership role based on performance and interests.
Questions regarding this position can be sent to Dr Clara Podmore (E-Mail schreiben) or Prof. Julien Vaucher (E-Mail schreiben).
Domaine d'activité
Statistical Analysis: Conduct comprehensive statistical analyses of clinical trial data, observational studies, and other research projects using advanced statistical techniques
Study Design and Protocol Development: Collaborate with cross-functional teams to design robust study protocols, including sample size calculation, randomization schemes, and statistical analysis plans
Data Management: Oversee data collection, validation, and cleaning processes to ensure data integrity and quality control standards are maintained throughout the study lifecycle
Results Interpretation: Interpret statistical findings, summarize key insights, and communicate results effectively to collaborators
Statistical Consulting: Provide valuable statistical guidance and training to scientists within the research groups
Regulatory Compliance: Ensure compliance with regulatory requirements and academic standards, including Good Clinical Practice (GCP) principles
Continuous Improvement: Stay abreast of emerging trends, methodologies, and technologies in biostatistics and contribute to process improvement initiatives within the organization
Exigences
Masters or PhD degree in a field relevant to Datascience, Biostatistics or equivalent
Experience in conducting research projects
Effective Communication: Demonstrate strong communication skills to facilitate collaboration, understand scientists needs and convey complex statistical concepts effectively
Independence and Resourcefulness: Exhibit the ability to work in an organised and independent manner, alongside a proactive approach to problem-solving
Language: Proficiency in French and English are essential, German is a plus
Exigences linguistiques
Français
autre: English
Date d'entrée en fonction:
Renseignements:
Dr Clara Podmore & Prof. Julien Vaucher
E-Mail schreiben / E-Mail schreiben
Date limite de réception des offres:
25.06.2024
Adresse d'envoi:
through ce lien.