Computational Biologist / Data Scientist

Computational Biologist / Data Scientist

Location: Faculty of Medicine, Postdocs / Senior Teaching and Research Assistants · Posted: 2026-10-11 · Closes: 2027-01-09 · Reference: 10216246

University of Zurich, Nephrological Laboratory, University Hospital Zurich, Departement of Nephrology

Computational Biologist / Data Scientist 80 - 100 %

Start of employment earliest possible start date, temporary

We are looking for a highly motivated Computational Biologist / Data Scientist to join an interdisciplinary team studying the molecular and cellular mechanisms of human kidney development and disease at the University of Zurich.

Our research combines functional genomics, single-cell and spatial transcriptomics, large-scale clinical datasets, statistical modelling, and machine learning. The position offers the opportunity to work across experimental and clinical research, spanning genetic screens in human kidney organoids, spatial transcriptomics of patient biopsies, and the analysis of large clinical cohorts.

Your responsibilities

You will contribute to both computational research and the development of data infrastructure, including:

• Analysis of single-cell and spatial transcriptomic datasets
• Integration of molecular, spatial, histological, and clinical data
• Establishment and management of large-scale clinical research databases, including data harmonization, quality control, and longitudinal data integration
• Statistical analysis of clinical cohorts, including identification of factors associated with disease progression and treatment response
• Development and application of machine-learning and predictive modelling approaches
• Integration of molecular and clinical data to identify biomarkers and disease-associated regulatory programs
• Development of reproducible computational workflows and contribution to experimental and clinical study design
• Presentation and publication of results in collaboration with molecular biologists, nephrologists, and clinicians

Your profile

We are looking for a scientist with a PhD or equivalent degree in computational biology, bioinformatics, biostatistics, statistics, data science, genomics or a related field.

You should have:

• Strong programming skills in R and/or Python
• Experience with high-dimensional biological and/or clinical data
• Experience with single-cell, spatial transcriptomics, clinical data science or related fields
• An interest in machine learning and predictive modelling
• Experience with database design or large-scale clinical datasets is an advantage
• Strong scientific curiosity and the ability to work independently and collaboratively

What we offer:
This position offers the opportunity to work at the interface of developmental biology, functional genomics, nephrology, clinical research, and data science, using datasets spanning in vitro and in vivo models, human kidney biopsies, and longitudinal clinical cohorts. You will have the opportunity to develop and lead computational projects and to contribute to research linking molecular mechanisms to human kidney disease and clinical outcomes.

Position: 80–100%
Location: University of Zurich
Starting date: earliest possible start date
Contract: 1 year

Information on your application

Please hand in your application in one PDF document containing the following:
Cover letter, CV, master diploma, PhD diploma, including credit points or grades

What we offer

Our employees benefit from a wide range of attractive offers. Find out more: https://www.uzh.ch/de/explore/work.html.

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

More Learning and Development

• Wide range of continuing education courses of UZH and the Canton of Zurich
• Language Center run jointly with ETH Zurich

More Food

• Food and drinks at reduced prices in the UZH cafeterias
• Lunch-Check-card with UZH contribution

More Healthcare

• Special conditions on the Academic Sports Association ASVZ
• Free seasonal flu vaccinations
• Rest and relaxation at the quiet room in the university tower

More Discounts

• Private traffic: Carsharing, rent a vehicle, parking space
• Digitalization: Hardware, software, mobile phone subscriptions

More Conditions of Employment

• Policies of the UZH
• Most UZH staff are employed according to public law

More International Services

• Support for people from outside Switzerland

More Campuses

• Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
• Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg

More

Location

University of Zurich, Nephrological Laboratory, University Hospital Zurich, Departement of Nephrology

Wagistrasse, 8952 Schlieren, Switzerland

Further information

Questions about the job

Britta George Chair of Nephrology, Director of Nephrology Contact Form Thank you for your message. We will get back to you shortly. 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/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