Research Group Leaders

HT - Human Technopole

Research Group Leaders

HT - Human Technopole

Milan, Italy

Job description

APPLICATION CLOSING DATE: 14 March 2021

Computational sciences applied to biology and medicine are at the very core of the mission of HT. The Centre for Computational Biology has the goal of developing new mathematical and computational approaches for the analysis and interpretation of medical and biological data. Computational biology at HT is not just about developing new methods for data analysis, but more importantly, also about asking fundamental questions about biology and human health that can be addressed only using computational approaches, from mathematical modelling of dynamical systems, to machine learning and Artificial Intelligence.

We are seeking talented early career researchers to establish their independent laboratory at the HT Research Centre for Computational Biology.

The Research Group Leaders will be responsible for developing an independent scientific programme within the Centre, as well as contributing to the collegial development of the HT research programme. They will be active researchers carrying out high-quality, internationally competitive research and contributors to the international scientific community.

The HT Research Centre for Computational Biology will offer an outstanding infrastructure, including High-Performance Computing, data storage and bioinformatics core support.  Additionally, a “Data Generation and Experimental Validation” unit within the centre will provide ‘wet-lab’ support for computational groups, including sample processing, next-generation sequencing, single-cell profiling and imaging.

The Research Group Leaders will also have access to HT-wide facilities, such as the Genomics Facility and the Image Analysis Facility. Newly appointed Research Group Leaders will be offered a generous start-up package and core funding for five posts plus the PI.

We welcome research proposals from any area of Computational Biology applied to human health. However, a strategic priority is represented by individuals with experience and an active research programmes in one of the following areas:

  1. Image analysis for digital pathology;
  2. Machine learning methods for multi-omics data integration, including single-cell data;
  3. Computational genomics and bioinformatics approaches to large-scale datasets;
  4. Mathematical modelling of biological systems.

International candidates, women and members of ethnic minorities are particularly encouraged to apply.

Key tasks and responsibilities

  • Develop and supervise the establishment of a world-class research programme in computational biology;
  • lead their own research group;
  • foster a diverse and nurturing research environment through leading and mentoring members of their teams;
  • build effective links and collaborations within other HT research investigators;
  • 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 genomics 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 helping to designing HT Core Facilities.

Job requirements

The selected candidates will have an outstanding record in an area of Computational Biology, a strong track record in the development of computational biology approaches in biomedicine, and an interest in the analysis of human systems and diseases. The Centre for Computational Biology will be implementing strategic internal collaboration schemes and will work closely with other HT Research Centres to achieve synergies and reach joint goals. The selected candidates will possess scientific vision, leadership skills and be competitive in acquiring extramural grants. They will have a collaborative attitude. Basic requirements for the position include a PhD in a relevant science subject, and a proven record of scientific research output in the field of computational biology and related area. Excellent organisational skills and a fluent command of English are essential.

Application Instructions

Please apply online sending:

  • a full CV;
  • a motivation letter.

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

Group leaders in the Centre for Computational Biology will be based in Milan.

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© EuroJobsites 2021

EuroJobsites is a registered company number: 4694396 VAT number: GB 880 9055 04

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

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