Postdoctoral Fellow – Bioinformatics & Modelling: Join our dynamic team to contribute to a cutting-edge project developing Digital Twins for rare diseases at the intersection of systems biology, AI, and translational research. This is an exciting opportunity to leverage your expertise in bioinformatics and executable modelling in a collaborative and innovative environment.
Postdoctoral Fellow – Bioinformatics & Executable Modelling for Rare Disease Digital Twins
Designation
Postdoctoral Fellow
Table
| Attribute | Details |
|---|---|
| Research Area | Bioinformatics, Executable Modelling, Rare Diseases |
| Location | Hinxton, Cambridgeshire |
| Eligibility/Qualification | PhD in bioinformatics, physics, or a related field |
| Contract Length | 2 years fixed-term grant-limited |
| Salary | Year 1 Stipend: £3,307 per month (after tax) |
| Application Closing Date | 13/07/2025 |
Research Area
- Development of Digital Twins for rare diseases
- Integration of multi-omics and clinical data
- Hybrid modelling approaches combining mechanistic, AI, and machine learning
Location
Hinxton, Cambridgeshire (Hybrid working options available)
Eligibility/Qualification
- PhD in bioinformatics, physics, or a related data-intensive field
- Proficiency in Python (or R), version control, and clean coding practices
- Experience with omics data analysis and integration
- 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 (publications, tools)
Job Description
As a Postdoctoral Fellow, you will:
- Develop and apply methods to transform omics data into networks and executable models.
- Generate phenotype-specific networks from bulk-RNAseq and scRNAseq data.
- Collaborate with experts to integrate disease datasets and test models.
- Apply hybrid modelling approaches to limited data scenarios.
- Ensure adherence to FAIR principles and contribute to open science by sharing models.
- Generate synthetic data representing rare disease patients for wider research community access.
How to Apply
To apply, please submit a cover letter and CV through our online application system.
Last Date for Apply
Applications will close at 23:59 CET on 13/07/2025.
