Bioinformatician in Computational Cancer Evolution, Maternity Leave

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/798nrl

Build the science that shapes the future of human health.

Application closing date: 25.06.2026
Join a place where ambitious science thrives
Human Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health.
The Sottoriva Lab ( at Human Technopole combines computational and experimental approaches to investigate cancer genomics and tumour evolution, with the goal of understanding disease progression and mechanisms of drug resistance. The lab integrates spatial and longitudinal patient-derived data with evolutionary theory and machine learning to study cancer biology. Research activities are supported by advanced bioinformatics, genomics, single-cell and spatial profiling infrastructures, as well as state-of-the-art high-performance computing and data storage facilities.
The successful candidates will report directly to the Group Leader, Prof Andrea Sottoriva,



who is also the Head of the Computational Biology Research Centre.
As a maternity cover, we are looking for a motivated Bioinformatician to analyse and help with the interpretation of novel datasets from colon cancer patients we have generated in our lab. The objective is to measure and predict evolutionary forces using a combination of single-cell multiomic data and longitudinal circulating tumour DNA profiling, and correlate evolutionary measurements with clinical information to understand why and how tumour progression and treatment resistance occur.
Your mission
- Analyse and interpret data in light of tumour evolution, using and developing state-of-the-art methodologies and technologies.
- Integrate data generated in the lab with existing datasets.
- Help with the design of new methods and approaches, based on evolutionary theory and/or machine learning, to measure evolution from data.
- Think independently,

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/798nrl