Senior Bioinformatics Scientist — Health Data & LLM Analytics

A*STAR Research; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A prominent research institute in Singapore is seeking a Scientist/Senior Research Officer in Bioinformatics. The role involves supporting data management and analytics for cardiometabolic health studies, utilizing Large Language Models for data curation. Required qualifications include a PhD in relevant fields and knowledge of EHR data handling. The position emphasizes advanced analytics and collaboration in a multi-modal research environment, offering an opportunity to impact health outcomes significantly.

Qualifications

• PhD in a relevant field is required.
• Experience with EHR or observational human data is necessary.
• Familiarity with genetic/molecular epidemiologic research is a plus.
• Knowledge of LLM applications in healthcare text is essential.

Responsibilities

• Analyze large datasets of protein or metabolite profiles using advanced methods.
• Manage data in a hybrid AWS cloud environment effectively.
• Extract and analyze information from unstructured clinical notes.
• Conduct quality control audits to ensure data accuracy.
• Identify predictive insights for patient risk and disease progression.

Skills

Data management

Statistical analysis

Large Language Models (LLM)

Bioinformatics

EHR data handling

Education

PhD in Chemistry, Bioinformatics, Biomedical Engineering, or related field

MSc or PhD in Data Science, Statistics, Mathematics, Computer Science, Physics, or related quantitative field

Tools

Python

R

AWS

Job description

A prominent research institute in Singapore is seeking a Scientist/Senior Research Officer in Bioinformatics. The role involves supporting data management and analytics for cardiometabolic health studies, utilizing Large Language Models for data curation. Required qualifications include a PhD in relevant fields and knowledge of EHR data handling. The position emphasizes advanced analytics and collaboration in a multi-modal research environment, offering an opportunity to impact health outcomes significantly.