Research Officer (Bioinformatics), IHDP

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 42,000 - 66,000; Full time

Job summary

A*STAR IHDP in Singapore seeks an early-career researcher to support data preprocessing, cleaning, analysis, and machine learning on wearable lifestyle data, genomics, and cardiovascular markers.

You will join a multidisciplinary team, applying statistical and computational methods, and contributing to reports and manuscripts. This role offers hands-on experience across multi-omics data analytics in a collaborative environment.

Qualifications

• Bachelor’s or master’s degree in bioinformatics, Biomedical Engineering, Data Science, Statistics, Mathematics, Computer Science, Physics, or a related field.
• 0–2 years of experience in related field.
• Proficiency in Python, R, or related programming languages; familiarity with cloud computing (AWS) and prompt engineering.
• Prior exposure to statistical modelling using human health cohorts is an advantage.

Responsibilities

• Apply advanced statistical and computational methods to analyse large datasets spanning longitudinal lifestyle markers, genomics, and cardiovascular disease markers.
• Implement effective data management and analysis pipelines across clinical, multi-omics, and wearable data within a hybrid AWS cloud environment.
• Identify patterns, correlations, and predictive insights to assess patient risk stratification and disease progression.
• Contribute to progress reports, presentations, and manuscript preparation.
• Present research findings in conferences.
• Collaborate closely with the wider research team to ensure high-quality, timely project delivery.

Skills

Python

R

Data analysis

Statistics

Machine learning

Prompt engineering

Education

Bachelor’s/Master’s in bioscience/CS-related field

Tools

AWS

Job description

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research to improve and impact the health and well-being of Singaporeans across the life course. IHDP conducts research on developmental cohorts as well as related studies in metabolic health, mental health, environmental nutrition, metabolism, allergy and neurocognition and environmental influences on human development.

Job Description:

The successful candidate will join a collaborative, multidisciplinary team supporting data preprocessing, cleaning, analysis, and machine learning. Projects focus on wearable lifestyle data, cardiovascular diseases, and genetic/molecular epidemiology. This role is well-suited for early-career researchers and fresh graduates seeking hands-on experience in multi-omics data analytics.

Job Responsibilities

• Apply advanced statistical and computational methods to analyse large datasets spanning longitudinal lifestyle markers, genomics, and cardiovascular disease markers.
• Implement effective data management and analysis pipelines across clinical, multi-omics, and wearable data within a hybrid AWS cloud environment.
• Identify patterns, correlations, and predictive insights to assess patient risk stratification and disease progression.
• Contribute to progress reports, presentations, and manuscript preparation.
• Present research findings in conferences.
• Collaborate closely with the wider research team to ensure high-quality, timely project delivery.

Job Requirements

• Bachelor’s or master’s degree in bioinformatics, Biomedical Engineering, Data Science, Statistics, Mathematics, Computer Science, Physics, or a related field.
• 0 to 2 years of experience in related field.
• Prior exposure to statistical modelling using human health cohorts is an advantage.
• Proficiency in Python, R, or related programming languages; familiarity with cloud computing (AWS) and prompt engineering.
• Proactive mindset with a strong drive to learn and implement emerging statistical methods.
• Excellent organizational abilities, sharp attention to detail, and strong interpersonal and communication skills.