Department of Quantitative Biomedicine, Medical Informatics
Start of employment is Q2 of 2025
The Wicki Lab (at the University and University Hospital of Zurich) and the Krauthammer lab (at the University of Zurich) are seeking a motivated PhD candidate to join a recently established team from both labs working on the AI Tumorboard project improving precision oncology. The candidate will develop and apply novel AI models for the analysis of multi-omic data to advance cancer treatment decisions.
Your responsibilities
The goal of this position is to combine genomics and machine-learning approaches to improve personalised cancer care. Key focus areas are:
- Genomic foundation models for processing multi-omic data of cancer patients
- Liquid biopsy for disease monitoring
- Developing predictive models integrating multi-omics and clinical data in order to identify clinically actionable biomarkers and to support treatment decisions
- Collaborating closely with oncologists and data scientists to align data analysis tools with clinical workflows and real-world needs.
You also have the possibilities to expand the research scope to other innovative projects in Precision Oncology.
Your profile
Minimum qualifications:
- Master's degree (MSc) in computational biology, bioinformatics, biology, statistics, machine-learning or a related discipline with proven experience in both genomic and computational projects
- Proficiency in Python and core scientific computing libraries (e.g., NumPy, SciPy, Scikit-learn, pandas)
- Strong statistical background and experience with machine learning methods
- Strong foundational knowledge of cancer biology and genomics.
Preferred qualifications:
- Proficiency in Linux systems, and high-performance computing (HPC) environments
- Experience with NGS analysis and with bioinformatic tools
- Experience with deep learning frameworks (e.g., PyTorch or TensorFlow)
- Familiarity with multi-modal data integration (e.g., clinical, genomics, proteomics).
Information on your application
Send your application including the following documents:
- a cover letter detailing your motivation and fit for this position
- your CV
- contact details of three references
What we offer
Work-Life Balance
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Learning and Development
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Food
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Healthcare
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Discounts
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Conditions of Employment
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International Services
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Campuses
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What we offer
Work-Life Balance
- Flexible working models (such as part-time positions, mobile working, job-sharing)
- Childcare at the kihz foundation of UZH and ETH
Learning and Development
- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich
Food
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution
Healthcare
- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower
Discounts
- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations
Campuses
- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg
Location
Department of Quantitative Biomedicine, Medical Informatics
Schmelzbergstrasse 26, 8006 Zürich, SwitzerlandFurther information
Questions about the job
Zsolt Balazs
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Working at UZH
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!
More → https://www.uzh.ch/cmsssl/en/explore/work.html
Please apply via our job portal www.jobs.uzh.ch
Working at UZH
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! More
