Research Associate [LKCMedicine]
Core
Developing novel multimodal AI models integrating speech, emotions, and linguistics for mental health outcomes, alongside implementation science research for deploying AI solutions.
Role type
Research Associate (Mental Health AI & Implementation Science)
Builds
Multimodal machine learning frameworks, LLM and deep learning models for predicting ultra-high-risk mental health outcomes, and AI enactment scenarios.
Domain
Healthcare / Mental Health / Artificial Intelligence
Deliverable
production ML models
Required skills
Python, R, TensorFlow, Machine Learning, Deep Learning, LLMs, Statistical Modelling, NLP, Feature Engineering, Data Transformation
Preferred skills
Implementation Science, Grant Writing, Manuscript Preparation, Lab Computing Infrastructure Management
Technologies
Python, R, TensorFlow, LLMs, HPC servers, GPU units
Responsibilities
De-identification of mental health speech transcripts; Design and extract text features for modelling ultra-high-risk outcomes; Design and improve existing multimodal machine learning frameworks; Conduct implementation science research including recruitment, survey administration, and AI enactment scenarios; Manage lab computing infrastructure including GPU-enable units and HPC servers; Prepare manuscripts and grants for mental health NLP and behavioral work; Develop research protocols including LLM-prompt workflows and training optimization processes; Train, develop, deploy, and monitor LLM and deep learning models.
Seniority
Entry-level to Junior, hands-on IC
