Health data scientist / Biostatistician

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 (clara.podmore@unifr.ch) or Prof. Julien Vaucher (julien.vaucher@h-fr.ch).

Domaine dactivité

• 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 dentrée en fonction:

• 01.09.2024 ou date à convenir

Renseignements:
Dr Clara Podmore & Prof. Julien Vaucher
clara.podmore@unifr.ch / julien.vaucher@h-fr.ch

Date limite de réception des offres:
25.06.2024

Adresse denvoi:
through ce lien.