Research Officer, Bioinformatics (Institute for Human Development & Potential A*STAR)

A*STAR - Agency for Science, Technology and Research; Singapore; Hybrid; SGD 56,000 - 89,000; Full time

Job summary

The A*STAR Institute for Human Development and Potential (IHDP) invites applications for a data analytics role supporting preprocessing, cleaning, analysis, and machine learning on wearable lifestyle data, genomics, and cardiovascular markers. Early-career researchers and new graduates are encouraged to apply.

Responsibilities include applying advanced statistics, building analysis pipelines in a hybrid AWS cloud setting, and delivering actionable insights.

Qualifications

• Bachelor’s or master’s degree in bioinformatics, Biomedical Engineering, Data Science, or a related field.
• 0 to 2 years of experience in a related field.
• Experience with statistical modelling using human health cohorts is an advantage.
• Proficiency in Python, R, or related languages; familiarity with AWS cloud computing.
• 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.

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

Data analysis

Statistical methods

Communication

Education

Bachelor’s or Master’s degree in bioinformatics or related field

Tools

Python

R

AWS

Prompt engineering

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.