HT - Human Technopole

Group Leaders

HT - Human Technopole

Milan, Italy

Job description


We are seeking to recruit outstanding health data scientist(s) and epidemiologist(s) to establish independent groups at the Human Technopole Foundation (HT) Health Data Science Centre.

HT is a new interdisciplinary research institute, created and supported by the Italian government, whose aim is to develop innovative strategies to promote human health and aging through a multidisciplinary and integrated approach, combining genomics, computational and structural biology and neuroscience, as well as data and decisions sciences.

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 benefit.

Currently, there are two key strategic research priorities across the Health Data Science Centre:

  • Applied health analytics: to develop and apply cutting-edge health analytics methods, integrating them deeply into population studies and electronic health records. Our rationale is to optimise knowledge generation from large-scale data featuring complex and multi-dimensional data and ensure robust scientific progress by making reliable inferences;
  • Translational epidemiology: to integrate molecular epidemiology with clinical and life sciences, helping to understand the aetiology of diseases and improve early detection. Our rationale is to translate epidemiological discoveries into actionable insights by identifying molecular mechanisms amenable to modification as well as improve prevention.

S(he) will have the following responsibilities:

You will be expected to develop independent programmes of research, as well as to collaborate in exciting existing initiatives and studies. Your key responsibilities will include:

  • Establish and lead a new independent group in the Health Data Science Centre, conducting high quality research relevant to applied aspects of health data science;
  • Create strong collaborations with research groups in the Health Data Science Centre, within HT (such as the Population & Medical Genomics and the Computational Biology Centres) and Politecnico di Milano, and externally. Some may contribute to creating infrastructures that will serve the broader community;
  • Develop and supervise the establishment of a world-class research programme in health data science/epidemiology;
  • Foster a diverse and nurturing research environment through leading and mentoring a team;
  • Develop and foster links between HT and other national and international research organizations;
  • Contribute to the preparation of Centre reports to be reviewed by an external expert board;
  • Actively participate in initiatives that pursue improvement of all aspects of HT;
  • Actively participate in the co-organization and implementation of activities that will promote the image of HT in the international community, such as symposia and workshops;
  • Contribute to the establishment of a collaborative and open scientific environment by actively participating in meetings and seminar series internal to HT. This will foster synergies between the groups and propagation of knowledge;
  • Raise third-party funding;
  • Participate and help to design HT Core infrastructures and facilities.

Job requirements

  • We will consider both early- and mid-career leading scientists;
  • We are looking for individuals with quantitative expertise (e.g., with backgrounds in clinical and genetic epidemiology, biostatistics, statistics, bioinformatics, computer science, data science, mathematics, physics, health informatics) and a commitment to, and track-record of, addressing applied questions relevant to population health (e.g., in relation to the causation, prediction, prevention, or control of major conditions);
  • Applicants should hold a PhD (or equivalent) in a quantitative domain, such as (but not limited to) epidemiology, genetic epidemiology, statistics, biostatistics, bioinformatics, computer science, data science, applied mathematics, advanced analytical techniques;
  • Because the chosen candidates will provide intellectual leadership as one of the Health Data Science Centre leaders, their disciplinary background and perspectives must demonstrate coherence with the Centre’s mission;
  • The selected candidates will have an outstanding proven record of scientific research output in the field of health data science/epidemiology and possess scientific vision;
  • Leadership skills;
  • Be competitive in acquiring extramural grants;
  • Collaborative attitude;
  • Excellent organisational skills;
  • Fluent command of English is essential.

Application Instructions

Please apply online sending a CV, a motivation letter, a project description and providing contacts for 3 to 4 potential referees.

The project description should be a maximum of 8 pages long and include both a short description of current and future research in the group in the context of HT.

Questions concerning the role and any queries regarding the terms and conditions should be sent to Professor Emanuele Di Angelantonio (, Head of the Centre for Health Data Science at Human Technopole.

Additional Information

HT offers a highly collaborative, international culture to foster top quality, interdisciplinary research by promoting a vibrant environment consisting of independent research groups with access to outstanding graduate students, postdoctoral fellows and core facilities.

HT is an inclusive employer that fosters diversity and engages systematically to ensure that equal employment opportunities are provided without regard to age, race, creed, religion, sex, disability, medical condition, sexual orientation, gender identity or expression, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws.

HT is offering attractive conditions and benefits appropriate to a leading, internationally competitive, research organisation that promotes a collegial and open atmosphere. The compensation package granted will be internationally competitive and comprise pension scheme, medical and other social benefits and support for relocation and installation.

Candidates coming to Italy for the first time, or returning after residing abroad, benefit from very attractive income tax benefits.

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Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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