Staff Scientist

Human Technopole; Italia; In loco; EUR 57.000 - 68.000; Tempo pieno

Descrizione del lavoro

A leading life science institute in Milan is seeking a Staff Scientist to support impactful research in the Health Data Science Centre. This role requires a PhD in a relevant field and experience in epidemiology and statistical analysis. The successful candidate will oversee research projects, supervise students, and contribute to high-impact publications. HT offers competitive benefits and promotes a work-life balance in an international environment.

Servizi

Competitive welfare provisions

Relocation support

Flexible working policies

Competenze

• A relevant PhD degree (e.g. Epidemiology, Biostatistics, Statistics, Genetics, Data Science, Mathematics).
• Strong understanding of epidemiological methods and statistical modelling.
• Experience analysing and integrating multi‑omics data.
• A sound understanding of Statistical and Machine Learning concepts.
• Prior experience working with multiple data sources and modalities.
• Experience with using statistical programming languages (e.g. Python, R).
• Strong quantitative skills and analytical reasoning.
• A track record of authoring scientific publications.

Mansioni

• Deliver impactful research outcomes and build sustainable research infrastructure.
• Define the direction of the scientific work and conduct research.
• Supervise the work of PhD, internship, and master's students.
• Propose projects and obtain further funding.
• Contribute to reports, presentations, and publications.
• Support key activities that enhance visibility for the HDS Centre.

Descrizione del lavoro

Build the science that shapes the future of human health.

Application closing date: 14.01.2026

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.

Within this mission, theHealth Data Science Centre (HDS Centre) at HT has been planned in partnership with Politecnico di Milano and is developing 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 patients and public benefit.

We are seeking an ambitious Staff Scientist toto support the activities of the Di Angelantonio/Ieva Research Group in the HDS Centre.

Your mission

As Staff Scientist you will play a central role in delivering impactful research outcomes and in building sustainable research infrastructure with reach beyond the group and institute. You will help the two PIs in the group define the direction of the scientific work, conduct research, analyse data, write scientific manuscripts for publication and disseminate results. Your work is expected to lead to high‑impact publications. Moreover, you will be in charge of jointly supervising the PhD, internship and masters’ students in the group.

Grow your skills

You will enhance your scientific and professional skills by:

• Designing and leading epidemiological and statistical analyses to address clinically and biologically relevant questions using molecular and multi‑omics data (e.g. genomics, proteomics, metabolomics) within large population‑based and clinical cohorts;
• Working closely with colleagues to help interpret findings and draft manuscripts and other reports for publication;
• Collaborating with statisticians and other colleagues to help develop and apply methodologically suitable analysis strategies to planned investigations;
• Jointly with the two PIs in the group, scientifically supervising PhD and masters’ students and overseeing post‑doctoral research activities;
• Proposing projects and obtaining further funding by applying for grants that are relevant to the group’s research lines;
• Anticipating, communicating and solving any potential problems that might arise when doing research;
• Contributing to reports, presentations and publications;
• Helping to get under way new projects and collaborative consortia in the -omics research field in general, and in genomics in particular;
• Reviewing, analysing or presenting the results of your own research and of that of the junior researchers you will be jointly supervising;
• Supporting the two PIs in the group in a range of key activities that would bring visibility to the centre and that align well with HT broader goals, such as organising and running training courses aimed at sharing the expertise available within the HDS Centre with the rest of HT and the Italian scientific community;
• Contributing to the development of institutional strategies.

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

What you’ll bring

Essential

• A relevant PhD degree (e.g. Epidemiology, Biostatistics, Statistics, Genetics, Data Science, Mathematics);
• Strong understanding of epidemiological methods and statistical modelling, including methods relevant to molecular and genetic data;
• Experience analysing and integrating multi‑omics data and population‑based health data (e.g. cohort studies, biobanks, electronic health records);
• A sound understanding of Statistical and Machine Learning concepts, particularly in relation to genomics;
• Prior experience working with multiple data sources and modalities, and a sound understanding of data integration methodologies;
• Experience with using statistical or other programming languages (e.g. Python, R) to manipulate large‑scale datasets;
• Strong quantitative skills and analytical reasoning;
• A track record of authoring scientific publications;
• Excellent analysis and data management skills.

Preferred

• Experience with causal inference methods (e.g. Mendelian randomisation);
• Familiarity with open science and open‑source software practices;
• Experience with advanced data visualisation for complex epidemiological data;
• Experience in teaching or mentoring in quantitative or epidemiological subjects;
• Experience working within large national or international research consortia.

Organizational and social skills

• Strong interpersonal skills demonstrated by the ability to lead and gain the assistance and cooperation of others in a team endeavour;
• Proven leadership, communication, team building and problem‑solving skills;
• Ability to interact effectively with other teams and work synergistically to effectively drive projects;
• Highly organised and meticulous work attitude;
• Attitude towards service;
• Ability to build trust through operating with transparency and creating an open and positive environment;
• Ability to work in a multi‑cultural, multi‑ethnic environment with sensitivity and respect for diversity;
• Ability to work accurately, with attention to detail;
• Self‑motivated, able to work independently and organise own workload;
• High‑level report writing and presentation skills;
• Good communication skills.

At HT, your discoveries contribute to a global effort to improve human health.

Why Human Technopole

HT offers an international and dynamic workplace, competitive welfare provisions, flexible working policies and relocation support. Researchers moving to Italy may benefit from attractive tax benefits. We promote work‑life balance and provide parental support initiatives.

How to apply

Submit:

• CV.
• Motivation letter (English).
• Contact details of two referees.

This is a 5-year contract offered under CCNL Chimico Farmaceutico, Level A3

Salary: up to € 68.000,00
The position is based in Milan, Italy, within our vibrant international campus.

We strongly encourage applications from candidates belonging to protected categories (L. 68/99).

The Foundation reserves the right, at its sole discretion, to extend, suspend, modify, revoke, or cancel this job posting without giving rise to any rights or claims whatsoever in favour of the candidates; the Foundation reserves, however, the right not to proceed with the awarding of the above‑described assignment due to the effect of supervening regulatory provisions and/or obstructive circumstances.