Hybrid Postdoc: Infant Immune Development & scRNA-seq

Rivm; Bilthoven; Hybrid; EUR 42,000 - 56,000; Full time

Job summary

RIVM seeks a postdoctoral researcher to study how the infant immune system develops and why vaccine responses vary in early life using single-cell RNA sequencing and data integration. You will join the Immune Mechanisms – Correlates of Protection (IMC) within the Centre for Immunology of Infectious Diseases and Vaccines (IIV) and contribute to both wet lab and data science efforts.

The role offers a hybrid work environment with collaboration across immunology, bioinformatics, and clinical teams,

Qualifications

• PhD in Biomedical Sciences, Immunology, Systems Biology or related field.
• Hands-on lab experience with primary cell isolation, flow cytometry, and molecular techniques.
• Experience in omics data analysis; proficiency in R or Python.
• Ability to think conceptually and resolve analytical challenges.
• Strong planning, organizational skills and collaboration across disciplines.

Responsibilities

• Coordinate processing of blood samples for single-cell RNA sequencing.
• Perform wet lab scRNA-seq experiments with technicians.
• Analyze single-cell datasets with quality control and downstream analyses.
• Interpret results with immunology and bioinformatics, translating to public health insights.
• Collaborate with project leaders and technicians to integrate lab work and data analysis.

Skills

Flow cytometry

RNA sequencing

R

Python

Omics data analysis

Collaborative communication

Education

PhD in Biomedical Sciences

Tools

Single-cell RNA-seq

Job description

RIVM seeks a postdoctoral researcher to study how the infant immune system develops and why vaccine responses vary in early life using single-cell RNA sequencing and data integration. You will join the Immune Mechanisms – Correlates of Protection (IMC) within the Centre for Immunology of Infectious Diseases and Vaccines (IIV) and contribute to both wet lab and data science efforts.

The role offers a hybrid work environment with collaboration across immunology, bioinformatics, and clinical teams,