Postdoc - Epidemiology/medical Statistics - Health - Milano, Italia - Human Technopole

Human Technopole

Azienda verificata

Milano, Italia

2 settimane fa

Inviato da:

Piero Bianchi

Reclutatore di talenti per beBee

Descrizione

APPLICATION CLOSING DATE:
31st of August 2023

The Human Technopole Foundation (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.

We are seeking to recruit an
Epidemiologist/Medical Statistician with strong quantitative skills to support the activities of the Centre. The post holder will hold a Master's and/or PhD Degree in a relevant scientific field (e.g. Epidemiology, Public Health, Biostatistics, Medical Statistics).

The postholder will also help PIs define the direction of the scientific work, conduct research, analyse data, prepare work for publication and disseminate results.

The work of the post-holder is expected to lead to high-impact publications.

Specific examples of data analysis include: assessing novel and emerging risk factors for association with chronic diseases; investigating and developing novel risk prediction models for a range of chronic diseases; integrating genetic, molecular data, and other risk factors to assess causality of associations.

Key tasks and responsibilities:

Designing and leading analyses of molecular databases to test specific hypotheses relating to emerging / novel risk factors and chronic diseases;
Working closely with colleagues to help interpret findings and draft manuscripts and other reports for publication
Working with statisticians and other colleagues at Human Technopole to help develop and implement methodologically fitting analysis strategies for planned investigations
Anticipating, communicating and solving problems that might potentially arise with the analysis or other aspects of research projects
Contributing to reports, presentations and publications by preparing numerical and graphical summaries using suitsable computer software
Helping to establish new projects and research consortia relating to risk factors
Reviewing, analysing or presenting information on projects when requested.

Essential requirements:

A sound understanding of epidemiological concepts, particularly in relation to chronic disease epidemiology;
Strong quantitative skills;
Fluency in English.

Preferential requirements:

Prior experience working with largescale studies and omics data;
Experience of statistical or other programming languages to manipulate large datasets;
Highlevel report writing and presentation skills ;
A track record of authoring scientific publications.

Organizational and social skills:

Ability to work accurately, with attention to detail;
Selfmotivated, able to work independently and organize own workload;
Good team player;
Good communication skills;
Ability to work in a multicultural, multiethnic environment, with sensitivity and respect for diversity.

Application Instructions:

- a CV;
- a motivation letter in English highlighting how your methodological skills, scientific knowledge and work experience fit with the position's specific requirements;
- the names and contact details of 3 referees.

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
outwardfacing 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.

Main benefits

Welfare plans.
Canteen service.
Worklife balance provisions.
Italian language training for foreigners.
Parental leave up to 1 year and other support for new parents.
Counseling.
Flexible working hours.
Remote working policy.
Support for relocation.
Researchers coming to Italy for the first time, or returning after residing abroad