PhD positions: HemoTwin-BD
Sanquin
PhD positions: HemoTwin-BD
PhD positions within the HemoTwin-BD consortium focusing on precision diagnostics for bleeding disorders through mass spectrometry-based proteomics, cellular models, and clinical data integration. Positions involve deep phenotyping of plasma, platelets, and endothelial cells across von Willebrand disease, coagulation factor deficiencies, and platelet disorders. Candidates should have a recent Master's degree in biomedical sciences or related fields with interest in proteomics, bioinformatics, and machine learning.
PhD positions: HemoTwin-BD
PhD positions within the HemoTwin-BD consortium focusing on precision diagnostics for bleeding disorders through mass spectrometry-based proteomics, cellular models, and clinical data integration. Positions involve deep phenotyping of plasma, platelets, and endothelial cells across von Willebrand disease, coagulation factor deficiencies, and platelet disorders. Candidates should have a recent Master's degree in biomedical sciences or related fields with interest in proteomics, bioinformatics, and machine learning.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Perform deep phenotyping based on mass spectrometry-based proteomics of plasma, platelets, and endothelial cells combined with advanced cellular models.
- Map VWF proteoforms in plasma samples from VWD patients and reference populations, integrating proteomic, genetic, and clinical data.
- Analyze longitudinal samples to explore age-related changes in VWF proteoform composition and their relation to bleeding severity.
- Perform proteomic and functional studies in endothelial colony-forming cells (ECFCs) and platelets to investigate VWF trafficking, secretion, and multimer assembly.
- Correlate variant incorporation into VWF multimers with cellular storage, secretion defects, and hemostatic function.
- Develop novel mass spectrometry-based strategies to profile coagulation factor proteoforms in plasma.
- Investigate how proteoforms influence bleeding phenotypes and treatment responses in Hemophilia A/B, rare coagulation factor deficiencies and fibrinolytic disorders.
- Multi-omic analyses of plasma, platelet, and endothelial protein profiles.
- Identification of molecular signatures in platelet disorders and bleeding disorders of unknown cause (BDUC).
- Development of machine learning models for patient stratification.
- Integration of molecular and clinical data into predictive decision-support tools.
- Participate in a structured PhD training and supervision program, including a tailored portfolio of scientific and professional development courses.