Extra-Curricular Internship

07 set - Milano
Human Technopole

Build the science that shapes the future of human health.

Application closing date: 10.09.2026

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.

About The Group

The Zuccolo group studies maternal and child health through epidemiology, statistics, and data science, focusing on understanding health trends, risk factors, and the intergenerational effects of family and parent-offspring relationships on health and wellbeing.

Internship Project Description

We are seeking a motivated intern to join our team and contribute to advancing research on women’s health. Building on ongoing projects, you will assist in performing advanced statistical modelling to explore emerging scientific questions including:



safety of drug use in pregnancy; drivers and consequences of discontinuation around pregnancy; mediation and composite-phenotype models for the determination of climate extreme impacts or multiple joint exposures.

Grow Your Skills

You will enhance your scientific and professional skills by:
- Reviewing literature and extracting data from publicly available sources
- Handling large-scale data from administrative data sources
- Computing estimates of disease burden
- Defining analytical protocols and pipelines
- Completing advanced statistical modelling
- Producing data visualisations and project reports.

Human Technopole supports career development through training, mentoring and dedicated learning opportunities.

Essential

What you'll bring
- MSc in epidemiology or biostatistics or related subject.
- Excellent knowledge of programming language (R or Python).
- Proven experience of analysing large scale data for population health science projects.
- Experience of advanced mathematical/statistical modelling

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