Computational Biologist / Data Scientist 80 - 100 %

University of Zurich; Schlieren; In loco; CHF 110.000 - 170.000; Tempo pieno

Descrizione del lavoro

The University of Zurich is offering a scientist position at the interface of developmental biology, genomics, and data science. You will work with single-cell and spatial data, integrating molecular and clinical information to drive discoveries in kidney disease.

We seek a PhD holder with strong R/Python skills, experience in high-dimensional data, and an interest in machine learning. The role spans 80–100%, located at the University of Zurich, with a one-year contract starting soon.

Competenze

• PhD or equivalent in a relevant field required.
• Strong programming skills in R and/or Python required.
• Experience with high-dimensional biological/clinical data preferred.

Mansioni

• Analyze single-cell and spatial transcriptomic datasets.
• Integrate molecular, spatial, histological and clinical data.
• Establish and manage large-scale clinical research databases with quality control.
• Perform statistical analysis of clinical cohorts and disease progression.
• Develop and apply machine-learning and predictive modelling approaches.
• Integrate molecular and clinical data to identify biomarkers.
• Develop reproducible computational workflows and contribute to study design.
• Present and publish results with collaboration from clinicians and researchers.

Conoscenze

R

Python

Single-cell data analysis

Spatial transcriptomics

Biostatistics

Formazione

PhD or equivalent in computational biology, bioinformatics, biostatistics, statistics, data science, genomics or related field

Strumenti

SQL

Bioconductor

Descrizione del lavoro

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!

Your responsibilities

• 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