**APPLICATION CLOSING DATE: March 18th, 2025** **Human Technopole (HT)**is an interdisciplinary life science research institute, created and supported by the Italian Government, with the aim of developing innovative strategies to improve human health. HT is composed of five Centers: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centers work together to enable interdisciplinary research and to create an open, collaborative environment that will help promote life science research both nationally and internationally. The Health Data Science Centre at HT has been planned in partnership with Politecnico di Milano and will develop several lines of research, with the aim to help deliver a step-change in health data science in Italy. The Centre’s mission is to systematically generate, mobilise, and harvest “big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental determinants of non-communicable diseases, for both patient and public agevolazioni. **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, the intern will be involved in a project whose aim is to develop a comprehensive algorithm to analyze a large dataset of over 7,000 plasma proteins in relation to different stages in a woman's life course, focusing on identifying phase-specific variations and understanding how these might relate to factors such as age, obesity, and type 2 diabetes. **Key tasks and activities**
- Data Cleaning: support in ensuring the accuracy of the data by cleaning and preprocessing the dataset, addressing missing values, outliers, and ensuring data consistency.
- Descriptive Statistics: support in analyzing and summarizing the proteomic data to identify trends, variations,



and key insights related to different life phases and health factors.
- Algorithm Development: support in designing and implementing algorithms to process large
- scale proteomic data, helping to identify patterns in protein levels across different life phases. **Essential requirements**
- Excellent knowledge of programming language (R or Python).
- Previous learning experience of analysing large scale data for population health science projects. **Preferred requirements**
- Prior learning experience with handling molecular (proteomic) data.
- Scientific interest and previous learning experience in the field of women's health across reproductive stages. **Organizational and social skills**
- Excellent communication and team working skills. **Application Instructions**
- a CV.
- a motivation letter in English. ***Why Human Technopole** HT seeks scientific excellence, we recruit the best scientific talents through international, open calls. Our working environment is international, friendly and inclusive. Our scientists work together across disciplines on research topics of biomedical relevance, leveraging synergies between their diverse skillsets and methodological approaches. We believe that highly diverse teams yield the best and most innovative results. We engage in outward-facing scientific activities aimed at benefiting the national and international research community. Training is also at the heart of our activity, with initiatives and opportunities for our staff, including scientific courses, conferences and workshops. **What we offer**
- Canteen service.
- Guest House upon availability, if needed.
- Access to all training initiatives targeted to HT scientists.
- International research environment with networking and training opportunities.
- Supervision by experienced researchers providing personalized feedback and career advice. **Number of positions offered**:1 **Internship duration**:6 months. **Reimbursement**: 800€ gross per month **The position is based in Milan.

📌 Extracurricular Internship (Gradute Interenship) - Zuccolo Group, Health Data Science (Milano)
🏢 Human Technopole
📍 Milano