Postdoctoral Fellow – Bioinformatics & Executable Modelling: The European Molecular Biology Laboratory (EMBL) is seeking a motivated and talented postdoctoral researcher with a strong background in executable modelling to contribute to an innovative project focused on developing Digital Twins for rare diseases. This position represents a unique opportunity to work at the intersection of systems biology, AI, and translational research, supporting initiatives through the Chan Zuckerberg Initiative.
Postdoctoral Fellow – Bioinformatics & Executable Modelling for Rare Disease Digital Twins
Designation
Postdoctoral Fellow
Research Area
Bioinformatics and Executable Modelling for Rare Disease Digital Twins
Location
Hinxton, Cambridgeshire (Hybrid working arrangements available)
| Details | Information |
|---|---|
| Contract Length | 2 years fixed-term, grant-limited |
| Salary | Year 1 Stipend of £3,307 per month (after tax, excluding pension and insurance) |
Eligibility/Qualification
- A PhD in bioinformatics, physics, or a related data-intensive field
- Proficiency in Python (or R), version control, and clean code practices
- Experience with omics data analysis and integration
- Hands-on expertise in developing and fitting executable models
- Strong communication and teamwork skills
Preferred Qualifications
- Experience in network inference and analysis
- Machine learning experience
- Track record of completed research projects (e.g., publications, tools)
Job Description
You will be involved in:
- Developing phenotype-specific networks using bulk-RNAseq and scRNAseq data from rare disease patients
- Building executable models (Boolean, ODE, agent-based, etc.) from omics data
- Collaborating with data curators, multi-omics data scientists, and AI engineers to integrate and enrich disease datasets
- Applying hybrid modelling approaches in scenarios with limited data
- Enabling multi-scale and cross-disease modelling for hypothesis generation and therapy discovery
- Contributing to open science by sharing models in BioModels and other repositories
- Generating synthetic data to represent rare disease patients
How to Apply
To apply, please submit a cover letter and CV through our online application system.
Last Date to Apply
13th July 2025, 23:59 CET
This position is part of an impactful initiative providing opportunities to advance knowledge in computational biology and personalized medicine while working within a collaborative and supportive environment. Join us in pushing the boundaries of rare disease research!
