About the role
Scientist/Senior Research Officer focusing on data management and analytics for a cardiometabolic health study, with expertise in EHR, genetic/molecular epidemiology, and LLMs.
ResearchOnsite
Key Responsibilities
- Support data management and data analytics deliverables for a cardiometabolic health study
- Data collection, monitoring, multi-modal data integration
- Apply advanced statistical and computational methods to analyze large datasets of protein or metabolite profiles
- Implementation of effective data management processes across clinical, multi-omics, and wearables data in hybrid AWS cloud environment
- Apply Large Language Models (LLM) to extract, process, and analyze information from unstructured clinical notes and health records
- Proactive quality control audits/quality management plans across longitudinal visits
Requirements
- PhD in Chemistry, Bioinformatics or Biomedical Engineering or a related field. A MSc or PhD in Data Science, Statistics, Mathematics, Computer Science, Physics or related quantitative field are also welcome to apply.
- Knowledge of genetic and molecular epidemiologic research (e.g., GWAS, polygenic risk scores, molecular data integration).
- Worked with EHR or observational human data (e.g., handling structured/unstructured data).
- Knowledge of or experience with Large Language Models (LLM) (e.g., prompt engineering, fine-tuning, or NLP for healthcare text), probabilistic modelling, transfer learning, programming in Python, R, or other languages.