Group Leader in Health Data Science

**APPLICATION CLOSING DATE: May 5th**

We are seeking to recruit an outstanding **Group Leader** in Health Data Science** to establish an independent group 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 strategic research priorities across the Health Data Science Centre:
- **Translational epidemiology**: requiring the integration of molecular epidemiology with clinical and life sciences to help understand the aetiology of diseases and improve early detection. Our aim is to translate epidemiological discoveries into actionable insights by identifying molecular mechanisms amenable to modification as well as to improve prevention.

The Health Data Science Centre wishes to appoint an outstanding **Group Leader in H**ealth Data Science** to provide research and training leadership in this strategically important area.

The post-holder will establish and lead a new independent group in the Centre, conducting high quality research relevant to applied aspects of health data science. The post-holder will be expected to create strong collaborations with existing research groups in the Centre and beyond. In particular, the post-holder will be expected to engage with other Centres within HT (such as the Population & Medical Genomics and the Computational Biology Centres), with the Politecnico di Milano, and externally.

**(S)He will have the following main responsibilities**:
The post-holder will be expected to develop independent programmes of research, as well as to collaborate in exciting existing initiatives and studies. 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 Centre, within HT, and externally, some of which 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;
- 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.
- We will consider both early
- and mid-career leading scientists;
- We are looking for individuals with strong quantitative expertise (e.g., with backgrounds in biostatistics, statistics, bioinformatics, computer science, data science, mathematics, physics, health informatics) and a commitment to, and track-record of, addressing applied research questions;
- Applicants should hold a PhD (or equivalent) in a quantitative domain, such as (but not limited to) statistics, biostatistics, bioinformatics, computer science, data science, applied mathematics, advanced analytical techniques;
- Leadership skills;
- Be competitive in acquiring extramural grants ;
- Collaborative attitude;
- Excellent organisational skills;
- Fluent command of English is essential;
- **Application Instructions**

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

**Additional Information**

HT offers a highly collaborative, international culture to foster top quality, interdisciplinary research by promoting a vibrant environment co