PhD Scholar at University of Edinburgh: The Centre for Inflammation Research at University of Edinburgh invites applications for a PhD position in the Precision Medicine Project. This research focuses on high dimensional integrative analysis to predict mucosal healing in Inflammatory Bowel Disease (IBD), utilizing data from the ongoing MUSIC/GIDAMPs Scotland study. The successful candidate will work on multidimensional data, incorporating clinical, genetic, proteomic, and microbiome information to advance understanding and prediction of mucosal healing in IBD.
- 🌐 Project Overview
- Conducting high-dimensional integrative analysis of clinical and molecular factors.
- Focus on predicting mucosal healing in Inflammatory Bowel Disease (IBD).
- Analyzing multi-omics data from over 1000 IBD patients in the ongoing MUSIC/GIDAMPs Scotland study.
- 🏥 Medical Challenge
- IBD affects 10 million people globally, with persistent gut inflammation.
- Despite advances in immunotherapy, more than 50% of patients don’t achieve mucosal healing.
- The MUSIC/GIDAMPs study aims to understand why some patients do not achieve mucosal healing.
- 🎯 Project Aims
- Develop a high-dimensional computational analysis for predicting mucosal healing.
- Explore the interaction between clinical and molecular factors in IBD outcomes.
- Refine biological endophenotype data for patients not undergoing mucosal healing.
- 🎓 Training Outcomes
- Integration, analysis, and management of clinical and molecular data in IBD.
- Develop expertise in bioinformatics and computational biology, including AI tools.
- Collaboration with clinical teams to improve classification of mucosal healing based on complex contributions of microbiome and genetics.
- 📚 Background
- Only 30% of IBD patients achieve complete mucosal healing.
- The study incorporates over 100 clinical and imaging data points and molecular -omics.
- Complete mucosal healing is crucial for the best long-term prognosis in IBD.
- 🗓️ Application Deadline
- The deadline for 24/25 applications is Monday, January 15, 2024.
- 🔄 Q&A Sessions
- Supervisors will hold a 30-minute Q&A session on December 11th at 10 am GMT via Microsoft Teams for potential applicants.
- 📄 How to Apply
- Applicants must apply to a specific project and submit the Recruitment Form to the research proposal section of their EUCLID application.
- Include requested documents like CV at the time of submitting the EUCLID application.
Table:
| Designation | Research Area | Location |
|---|---|---|
| PhD Scholar | High Dimensional Integrative Analysis of IBD Patient Data | Centre for Inflammation Research |
Eligibility/Qualification:
- Bachelor’s or Master’s degree in a relevant field (biology, bioinformatics, computational biology, etc.).
- Strong background in computational analysis and bioinformatics.
- Interest in clinical and molecular data integration for Precision Medicine.
- Proficiency in AI-enabled tools and machine learning methods.
Job Description:
Precision Medicine Project – High Dimensional Integrative Analysis of Clinical and Molecular Factors to Predict Mucosal Healing in Inflammatory Bowel Disease: Analysis of >1000 IBD Patient Multi-Omics Data of MUSIC/GIDAMPs Scotland Study
The PhD project involves developing a high-dimensional computational analysis approach to predict complete mucosal healing in IBD. The candidate will work with a multidisciplinary team to analyze data from >1000 IBD patients, incorporating clinical, genetic, proteomic, and microbiome data. The research aims to understand the interaction between clinical and molecular factors, identify predictive tools for IBD subtypes, mucosal healing, and disease activity, and refine biological endophenotype data.
How to Apply:
- Click here to access the application portal.
- Complete the Precision Medicine Recruitment Form and submit it to the research proposal section of your EUCLID application.
- Ensure you include project details in your application and upload requested documents, including CV.
Last Date for Apply: Monday, 15 January 2024
Disclaimer: This job post is based on information obtained from a reliable source. Applicants are advised to verify details and check for any updates on the official [University Name] website for the most accurate and current information.
