PhD/Postdoc Position - Statistical / Causal Inference – DEEP TRIAL

Host Institution

Mario Negri Institute for Pharmacological Research (IRCCS) – Clinical Data Science Laboratory, in collaboration with Politecnico di Milano and the DEEP TRIAL consortium.

Location: Via Gian Battista Camozzi, 3 - 24020 Ranica (BG), Italy

Research Project

This position is funded within the Italian Ministry of Health ‘Ricerca Finalizzata 2024’ project (RF‑2024‑12380419 – DEEP TRIAL), a 3‑year research program focused on the development of a platform for Target Trial Emulation (TTE) using real‑world data. The project aims to estimate treatment effects in critically ill patients using large-scale EHR data, addressing key clinical questions in intensive care.

Research Environment

The Clinical Data Science Laboratory at the Mario Negri Institute for Pharmacological Research (IRCCS) coordinates the Italian Group for the Evaluation of Interventions in Intensive Care (GiViTI), one of the largest intensive care research networks in the world.

The laboratory collects, integrates, and analyzes high-quality clinical data from approximately 250 Intensive Care Units across Italy and other European countries. Its mission is to support clinicians and researchers in improving patient outcomes by enabling data-driven decision-making and optimizing the use of available healthcare resources.

The research environment is highly multidisciplinary, integrating expertise in clinical medicine, engineering, statistics, and data science.

This multidisciplinary approach is further strengthened by ongoing national and international collaborations with leading institutions, including:

- Ospedale Niguarda (Milan), a reference center for advanced clinical care
- University of Bari, with strong expertise in clinical and quantitative research
- Politecnico di Milano (Department of Electronics,



Information and Bioengineering – DEIB)
- University of Amsterdam (Medical Informatics, Amsterdam UMC)

These collaborations provide a unique environment in which candidates will interact with clinicians, engineers, and methodological experts, fostering strong integration between theoretical development, engineering solutions, and real-world clinical applications.

The work will primarily be carried out at the company’s premises, with the possibility of working remotely up to two days per week. During the initial onboarding and training period, a more frequent presence in the office will be required to facilitate the new employee’s integration, training, and familiarisation with the company’s processes and working methods.

PhD / Postdoctoral Project and Responsibilities

The candidate will focus on the technical development of the DEEP TRIAL platform, including:

- Development and maintenance of secure data platforms
- Implementation and automation of data pipelines
- Integration of heterogeneous EHR systems
- Management of access and data security
- Implementation of causal inference algorithms

Candidate Profile

Background in Biomedical Engineering, Data Science, Computer Science, or Software Engineering, or related fields.

Technical Skills

Python/R, object oriented programming, software development, data engineering, collaborative software development workflows.

Soft Skills

- Problem-solving
- Team working
- Flexibility
- Analytical thinking

Language requirements

Ability to communicate effectively in Italian (B1) and English (B2), both orally and in writing.

Funding

Fully funded position for 3 years (aligned with project duration)

Salary

The salary level will be commensurate with the candidate's experience and qualifications.

Job Type: Full-time

Pay: €20,000.00 - €30,000.00 per year

Work Location: Hybrid remote in Ranica, Lombardia

📌 Data Engineer / Data Scientist (Ranica)
🏢 Istituto di Ricerche Farmacologiche Mario Negri
📍 Ranica