The ReS Foundation (https://fondazioneres.it/) is offering a regional training internship (for people under 30) for a Data Analyst / Statistician to join its research team operating at CINECA (Interuniversity Consortium) in Casalecchio di Reno (Bologna), with a focus on Real-World Evidence studies, administrative health data analysis, and evaluations to support healthcare decisions.

The candidate will be involved in research projects that use real-world health data to support observational studies and assessments to support healthcare decisions.

Main activities

• Support for the preparation and management of administrative healthcare databases (pharmaceutical, hospitalizations, specialist outpatient care).
• Descriptive and basic statistical analysis of real-world data.
• Collaboration in the design and conduct of observational studies (retrospective cohorts, pre-post analyses, comparative studies).
• Application of epidemiological and biostatistical methods under supervision (e.g., survival analysis, statistical models).
• Support for the production of technical-scientific reports and research materials.
• Collaboration with the multidisciplinary team of the ReS Foundation on national and international projects.

What the internship offers

• Practical training in healthcare data analysis methodologies and Real-World Evidence.
• Direct support from senior researchers at the ReS Foundation.
• Involvement in research projects applied to health policies and innovative drugs.
• Possibility of permanent employment at the end of the internship

Type: Regional extracurricular internship

Work location: hybrid mode: in person at CINECA Via Magnanelli 6/3 Casalecchio di Reno (Bologna) and remotely

Duration/allowance: 6 months/expense reimbursement

Requirements

• Degree in Statistics, Biostatistics, Epidemiology, Data Science, Health Economics, or related disciplines.
• Basic knowledge of statistics and epidemiology.
• Familiarity with at least one data analysis language/software (R, Python, SAS, Stata, or equivalent).
• Interest in research applied to the healthcare sector.
• Good organizational and teamwork skills.

Preferred qualifications

• University thesis or project involving data analysis.
• Interest in Real-World Evidence, pharmacoepidemiology, or health services research.
• Basic knowledge of database management (e.g., SQL).