Institut Necker Enfants Malades (INEM) is a biomedical research center located on the Necker campus. It benefits from numerous state-of-the-art core facilities. The Campus has a long-standing reputation for scientific excellence and key pioneering medical contributions (transplantation, biotherapy, gene therapy). It provides a vibrant environment for basic research and translational innovation.

Background: Cardiovascular (CV) disease (CVD) remains the leading cause of death worldwide and with a disproportionate burden in persons living with type 1 diabetes (T1D). Despite advances in care, current risk prediction models do not account for the immunological dysregulation in T1D that may contribute to CV risk.

Project Objective: The postdoctoral candidate will focus on deep immunophenotyping (proteomic cytokine analyses, snRNA-seq, bulk RNA-seq) of biological samples from persons living with T1D to reveal immunological correlates of CV risk. Work will mainly be on the large SFDT1 cohort study. Immune data will be integrated with clinical charactersitics for epidemiological analyses and multimodal AI modelling by partner laboratories. This will lead to developing novel patient clusters and digital phenotypes, leveraging machine learning to identify individuals at high CV risk based on immune markers, clinical and biochemical markers and digital health data (e.g., CGM metrics).

Key Responsibilities

• Conduct advanced cellular and molecular biology analyses for deep immunophenotyping using biological resources from cohorts of persons with diabetes (SFDT1, REVADIAB, ANGIOSAFE2)
• Conduct analyses of sequencing data (snRNA-seq, bulk RNA-seq) and proteomic data (Olink®)
• Collaborate closely with clinicians and epidemiologists to ensure integrated analysis and interpretation
• Prepare scientific manuscripts for publication and present findings at national and international conferences
• Participate in strategic planning and dissemination activities in coordination with other partners

Essential criteria (skills, experience, qualifications)

• PhD (or equivalent) in Immunology, Biomedical Sciences, Bioinformatics or related disciplines
• Background in immunology, diabetes and/or metabolic disease research; bioinformatics, and/or data science
• Previous experience working with human samples and data, cohorts and cohort level data
• Interest in immunity, CVD, CV risk and diabetes research
• Excellent organisational skills, autonomy and ability to work in a team and collaborate
• Excellent writing and communication skills in English 

Desirable criteria (skills, experience, qualifications)

• Track record of high impact publications (highly desireable)
• Proficiency in R and/or Python (highly desireable)
• Writing and communication skills in French 

Training & Environment: The candidate will work in the Immunity and Metabolism of Diabetes (IMMEDIAB) team at Institut Necker Enfants Malades (Paris, France). The multidisciplinary environment provides excellent technological core facilities (sequencing, informatics, etc.) and a unique platform to acquire and deepen knowledge in immunology and diabetes research. The candidate will benefit from training opportunities and collaborations across the institute and with project partners (Assistance Publique-Hôpitaux de Paris, Luxembourg Institute of Health). The postdotoral research will be supervised by Dr. Fawaz Alzaid, and co-supervised by Pr. Jean-Pierre Riveline (AP-HP) and Dr. Guy Fagherazzi (LIH).

Particulars: Employer: INSERM (French National Institute for Health and Medical Research). Location: Paris, France. Salary: Commensurate to experience according to French public salary scales. Closing: 1 June 2025. Starting: 1-15 September 2025. Discipline: Health Science (Immunology, Cardiovascular Risk, Type 1 Diabetes). Sector: Public research, academia. Job Type: Postdoctoral, full-time. Duration: Fixed term (1 year, renewable up to 3). Qualifications: PhD or MD-PhD.

Enquiries and application: For informal enquiries please contact @email.
To apply: Send an application pack (single PDF file) containing a cover letter, CV and single-page statement outlining your background and interest in the position to @email.