Research Assistant/Associate

**Job Description**
The Nutrition, Digestion, and Metabolism lab focuses on understanding the interplay between diet, metabolism, microbiome, and disease, with a particular emphasis on colorectal cancer and metabolic disorders. The lab conducts translational research aimed at transforming fundamental findings into tangible benefits for patients. This role contributes to a translational research project focused on improving symptom monitoring and management in patients with Irritable Bowel Syndrome (IBS-D) through the development of a novel, AI-enabled wearable device. Responsibilities include conducting clinical trials, collecting and analysing biomedical data, training machine learning models for bowel sound classification, and supporting prototype refinement and software integration for eventual commercialisation.

**Skills & Abilities**
• Proficiency in Python, R, or MATLAB for data analysis
• Familiarity with cloud platforms (e.g. AWS, GCP)
• Strong interpersonal skills
• Ability to work independently and within a multidisciplinary team

**Qualifications**
Required Degree(s) in:
• Data Science
• Computer Science
• Biological Sciences or related field

**Experience**
Experience Required:
• 1-2 years (machine learning model development, preferably involving biomedical signals or clinical datasets)
Other:
• Experience with IRB submissions and clinical trial coordination is preferred
• Entry level candidates are welcome to apply

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