Clinical Trial Processes & Data Analysis Intern

Undergraduate Research Opportunities Programme (UROP): Clinical Trial Processes & Data Analysis 

Project Overview: 

This UROP project offers a unique opportunity to gain hands-on experience in the clinical trial process, with a focus on patient blood processing in a wet lab environment and advanced data analysis techniques using cohort and open data. The project also includes an introduction to epigenetic analysis, providing a comprehensive view of how laboratory techniques integrate with modern computational methods to drive biomedical research. 

Key Learning Objectives: 

• Clinical Trial Fundamentals:
  • Understand the workflow of clinical trials, including patient recruitment, consent, and ethical considerations.
  • Learn detailed protocols for blood processing and sample handling, ensuring high-quality data collection in a clinical setting. 
• Wet Lab Techniques:
• • Engage in hands-on blood processing and sample preparation.
  • Develop practical skills in laboratory techniques that are critical for clinical research.
• Data Analysis & Computational Biology:
  • Learn how to work with cohort data and publicly available datasets, emphasizing reproducibility and transparency in research.
  • Acquire skills in R programming or Python for statistical analysis and data  visualization.
  • Explore the fundamentals of epigenetic analysis, including data interpretation and integration with clinical findings. 

Candidate Profile: 

• Preferred Background:
Students with some wet lab experience are encouraged to apply, although it is not a strict requirement.
Available to come at least every morning (for 1.5hrs) per week in the wet lab for hands-on patient blood processing is essential. 

• Data Analysis Interest:
Students who are keen on exploring data analysis should have, or be willing to develop, a basic foundation in R programming or Python. Prior experience is beneficial but not mandatory, as training will be provided. 

Commitment and Benefits: 

• Commitment:
Approximately 4–6 hours per week, with scheduled morning sessions dedicated to wet lab work and additional time for data analysis sessions. 

• Benefits:
Gain practical, interdisciplinary research experience bridging wet lab techniques and computational data analysis. 

Work alongside experienced researchers and clinicians, contributing to ongoing clinical trial projects. 

Enhance your research portfolio with skills highly relevant to biomedical research, clinical trials, and data science. 

How to Apply: 

Interested undergraduate/master students should submit a brief statement of interest outlining their background, areas of interest (wet lab work and/or data analysis), and availability. A CV and any relevant coursework or project experience should be included in your application. Applications will be reviewed on a rolling basis.

Send you applications to [email protected] and write in the subject’s email [Internship application] Clinical Trial Processes_FirstnameLastname. 

Join us in this innovative project to learn the full spectrum of clinical trial operations and data-driven research—an ideal stepping stone for students aspiring to a career in biomedical research or clinical data analysis.