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- Aufgaben: Analyze clinical data and apply advanced data science methods to drive metabolic health research.
- Arbeitgeber: Join the University of Bern's innovative research group focused on diabetes and metabolic disorders.
- Mitarbeitervorteile: 12-month contract with potential for extension, collaborative environment, and impactful research opportunities.
- Warum dieser Job: Contribute to cutting-edge research while working with diverse teams and advancing your analytical skills.
- Gewünschte Qualifikationen: MSc or PhD in relevant fields, strong data science experience, and proficiency in Python or R required.
- Andere Informationen: Fluent English is essential; good German skills are a plus.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
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 transformative 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.
Tasks and Responsibilities
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 from 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 dissemination.
Your Profile
Required qualifications and experience:
- University degree (MSc or PhD) in statistics, data science, biomedical science, or similar, with above-average grades in 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.
- Proficiency in the analysis of observational data.
- Expertise in machine learning.
- Best practices (logging, version control, object-oriented programming, documentation).
- 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
Application and Contact
For subject-specific questions and information about the position, please contact Dr. David Herzig ( ) and Prof. Dr. Dr. Lia Bally ( ).
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Data scientist / Statistician in Clinical Metabolic Research Arbeitgeber: University of Bern
Kontaktperson:
University of Bern HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data scientist / Statistician in Clinical Metabolic Research
✨Tip Number 1
Familiarize yourself with the latest trends in clinical metabolic research. Understanding current methodologies and technologies used in the field will help you engage in meaningful conversations during interviews and demonstrate your passion for the subject.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or workshops. This can provide you with insights into the latest research and may even lead to valuable connections that could help you land the job.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source initiatives. Highlighting your proficiency in Python, R, or Matlab through practical examples can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with data management and analysis during the interview. Be ready to share specific examples of how you've handled complex datasets and contributed to research outcomes, as this will demonstrate your fit for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data scientist / Statistician in Clinical Metabolic Research
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and required qualifications, especially the emphasis on data science methods and clinical research.
Highlight Relevant Experience: In your application, make sure to emphasize your experience in data science, particularly in medical research. Mention specific projects or roles where you applied statistical methods or programming languages like Python or R.
Showcase Your Skills: Clearly outline your analytical skills and problem-solving abilities. Provide examples of how you've successfully communicated complex information to diverse audiences, as this is crucial for the role.
Tailor Your Application: Customize your CV and cover letter to reflect the interdisciplinary nature of the position. Highlight your enthusiasm for teamwork and collaboration, as well as any relevant experience in scientific writing or digital technologies.
Wie du dich auf ein Vorstellungsgespräch bei University of Bern vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've applied statistical and data science methods in your previous work. Highlight any experience you have with analyzing clinical data and how it contributed to meaningful insights.
✨Demonstrate Programming Proficiency
Since proficiency in programming languages like Python, R, or Matlab is crucial, be ready to talk about projects where you've used these languages. You might even want to bring a portfolio or code samples to showcase your skills.
✨Communicate Complex Ideas Clearly
Practice explaining complex statistical concepts in simple terms. The ability to convey intricate information to diverse audiences is key, so think of ways to demonstrate this during the interview.
✨Emphasize Team Collaboration
Given the interdisciplinary nature of the role, share experiences that highlight your ability to work collaboratively in a team. Discuss how you've contributed to group projects and supported colleagues in addressing data science questions.
