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 candidate will support a postdoctral researcher and the study PI to coordinate analyses of deep immunophenotyping (proteomic cytokine analyses, snRNA-seq, bulk RNA-seq) from biological samples of 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 novel patient clusters and digital phenotypes, leveraging machine learning to identify those at high CV risk based on immune markers, clinical and biochemical markers and digital health data (e.g., CGM metrics).

Key Responsibilities

• Conduct bioinformatic analyses of sequencing data (snRNA-seq, bulk RNA-seq) and proteomic data (Olink®)
• Coordinate sample processing for advanced cellular and molecular biology analyses for deep immunophenotyping using biological resources from cohorts of persons with diabetes (SFDT1, REVADIAB, ANGIOSAFE2)
• Work closely with team members and collaborators
• Participate in laboratory management and maintenace tasks (stock check, orders, administration)
• Assist in preparing scientific manuscripts for publication 

Essential criteria (skills, experience, qualifications):

• BSc+/MSc (or equivalent) in Bioinformatics, Immunology, Biomedical Sciences, or related disciplines
• Background in bioinformatics, data science, immunology, diabetes and/or metabolic disease research;
• Experience with human samples and data, cohorts and cohort level data
• Proficiency in R and/or Python
• Excellent organisational skills, autonomy and ability to work in a team and collaborate
• Proficiency writing and communicating in French

Desirable criteria (skills, experience, qualifications):

• Wet lab experience for sample preparation (nuclei isolation from PBMCs, RNA extraction from PBMCs) (highly desirable)
• Proficiency writing and communicating in English (highly desirable)
• Publication record

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 candidate’s work 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: 20 June 2025. Starting: 1-15 September 2025. Discipline: Health Science (Immunology, Cardiovascular Risk, Type 1 Diabetes). Sector: Public research, academia. Job Type: Study engineer, full-time. Duration:Fixed term (1 year, renewable up to 3). Qualifications: BSc+/MSc.

Enquiries and application: For informal enquiries please contact @email.
To apply: Send an application pack (single PDF file) containing a cover letter and CV to @email.