Data scientist / Statistician in Clinical Metabolic Research
Veröffentlicht:
20 Februar 2025Pensum:
100%- Arbeitsort:Bern
Data scientist / Statistician in Clinical Metabolic Research
Published 19 February 2025 Workplace Bern, Bern region, Switzerland CategoryComputer Science
Data scientist / Statistician in Clinical Metabolic Research
100 %
University of Bern and University Hospital Bern, Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism (UDEM)
Start of employment: by agreement
12 months with option for extension/conversion to permanent contract
Our interdisciplinary research group investigates human metabolism, translating these insights into innovative strategies for preventing and treating diabetes, obesity, and other endocrine and nutritional disorders. By combining innovative metabolic physiology studies with digital technologies and large clinical datasets from trials and routine care, we conduct tranformative clinical metabolic research to drive impactful discoveries.
We are seeking an individual with strong analytical and computational skills, a passion for analyzing multidimensional clinical data, and a drive to contribute to cutting-edge research in a collaborative and dynamic environment.
As a team member, you will advance our understanding of human metabolism by applying statistical and data science methods, working at the intersection of clinical research and data analytics to drive meaningful progress in metabolic health.
Your main responsibilities will include:
- Analyzing clinical data form experimental and observational research, bringing your own ideas and inspirations to drive innovative insights
- Supporting researchers in addressing data science and statistical questions, including guidance on study design, sample size calculations, and other methodological guidance
- Developing and applying advanced data science methods, such as machine learning and multidimensional data analysis, to experimental and clinical datasets
- Serving as a key contact for data management, ensuring efficient data collection, cleaning, and processing workflows
- Contributing to scientific disseminations
Your profile
Required qualifications and experience: - University degree (MSc or PhD) in statistics, data science, biomedical science, or similar, with above-average grades in a quantitative fields
- Extensive experience in data science, particularly applied to medical research
- Proficiency in at least two of the following programming languages: Python, R, Matlab o Proficiency in the analysis of observational data o Expertise in Machine learning o Best practices (logging, version control, Object-oriented programming, documentation) o Fluent in English, both written and spoken. Good German skills are a plus
- Strong analytical skills including critical thinking and problem-solving
- Strong communication skills, with the ability to clearly convey complex information to diverse audiences
- Cooperative personality with a strong enthusiasm for interdisciplinary and international teamwork
Expertise/experience in the following areas is a plus:
- Medical statistics
- First-principle models
- Causal inference methods
- Digital biomarker development
- Processing time-series and/or wearable data
- Multidimensional data analysis
- Scientific writing
We offer
We offer the opportunity to work on diverse and impactful projects within an excellent scientific environment, fostering career development in patient-oriented research. Our interdisciplinary team - comprising clinical researchers, medical doctors, data scientists, and biomedical experts - collaborates closely to tackle complex health challenges. Additionally, our research team cultivates numerous international collaborations, providing a global perspective and enriching our work.
As a member of our team, you will work in Bern, the capital of Switzerland, and enjoy the city’s exceptional quality of life, surrounded by beautiful nature and endless opportunities for outdoor activities like hiking, biking, swimming, and winter sports.
Application and contact
For subject-specific questions and information about the position, please contact Dr. David Herzig (david.herzig@ insel.ch) and Prof. Dr. Dr. Lia Bally (lia.bally@ insel.ch).
www.karriere.unibe.ch') Rechtliche Hinweise