Research Assistant/Associate

3 days ago


Singapore Nanyang Technological University Singapore Full time

Research Assistant/Associate (LKCMedicine)Join to apply for the Research Assistant/Associate (LKCMedicine)role at Nanyang Technological University Singapore The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. It offers both undergraduate and graduate programmes and is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School's primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. In August 2024, we welcomed our first intake of the NTU MBBS programme, enhanced with themes such as precision medicine and Artificial Intelligence (AI) in healthcare. Graduates from the five‐year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities. The Nutrition, Digestion, and Metabolism Lab, led by Associate Professor Sunny Wong, focuses on the interplay between diet, metabolism, microbiome, and disease, particularly colorectal cancer and metabolic disorders. The lab conducts translational research, transforming fundamental findings into tangible benefits for patients, Singapore, and the broader public. For more details, visit Overview We are looking for a Research Assistant/Associate to contribute to a translational research project aimed at improving symptom monitoring and management in patients with Irritable Bowel Syndrome (IBS‐D) through the development of a novel, AI‐enabled wearable device. The role will focus on 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. Key Responsibilities Conduct clinical trial operations, including patient recruitment and data collection Prepare IRB applications, informed consent forms, and study protocol amendments in accordance with institutional and regulatory guidelines Manage and preprocess biosignal data for analysis and AI model training Collaborate with partners on prototype testing and development Assist with mobile app testing and ensure reliable data flow between the device and cloud system Required Educational Qualification, Experience, Skills and Competencies Bachelor's degree (for Assistant) or Master's degree (for Associate) in Data Science, Computer Science, Biological Sciences or a related field At least 1‐2 years of relevant experience in machine learning model development, preferably involving biomedical signals or clinical datasets Experience with IRB submissions and clinical trial coordination is preferred Proficiency in Python, R, or MATLAB for data analysis, and familiarity with cloud platforms (e.g. AWS, GCP) will be an advantage Strong interpersonal skills with the ability to work independently and within a multidisciplinary team Entry‐level candidates are welcome to apply Hiring Institution: LKC Seniority level: Mid‐Senior level Employment type: Full‐time Job function: Research, Analyst, and Information Technology Industries: Higher Education and Research Services #J-18808-Ljbffr



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