Job offer

We are offering a rare opportunity to work with a unique, high-value health dataset combining:

• data from the Health Data Hub (HUGO)
• and national health records from the French National Health Data System (SNDS)

This dataset enables in-depth exploration of health care trajectories in patients 80 years and older admitted to intensive care for acute respiratory failure, with a special focus on cardiovascular causes.

Scientific Objectives As part of this project, you will:

• Describe patient care pathways
• Identify predictors of intensive care admission
• Analyze determinants of survival, accounting for:

• prior care received
• autonomy
• chronic treatments
• detailed health trajectories covering pre-, peri- and post-ICU phases

• PhD or equivalent degree, with interest in cardiovascular research
• Strong skills in R programming
• Knowledge in AI / data science is a plus (not mandatory)
• Scientific rigor, motivation, and independence in research (Medical or scientific background welcome), PhD or equivalent, Basic skills in biostatistics is expected/recommended (causal inference, prediction, performance...) but you will be mentored by a senior statistician on site and several data-scientists

Speaking French is not mandatory but will facilitate integration. The entire team generally speaks English. Specific Requirements

R studio is the software used for the analysis.

Knowledge in ML/DL is a plus but not mandatory.

Languages FRENCH

• For medical doctors: opportunities for clinical cover / on-call shifts to supplement income
• Hybrid work (up to 2 days remote per week) and flexible hours
• Strong mentorship from a senior biostatistician with weekly project follow-ups

Life in Nancy

• A dynamic, student-friendly city with high quality of life
• No car needed - excellent public transport (tram)
• Workplace 20 minutes by tram from city center and train station
• 1h30 from Paris, Luxembourg, and Strasbourg