Research Assistant - HBV Data Science & Transcriptomics

National University of Singapore; Singapore; On-site; SGD 33,480 - 55,800; Full time

Job summary

A leading educational institution in Singapore seeks a Research Assistant for a project focused on Chronic Hepatitis B. The role involves data analysis, bioinformatics, and integration of clinical datasets. Ideal candidates should have a Bachelor's degree in relevant fields and preferred experience in coding with R/Python. Exposure to cutting-edge technologies and opportunities to contribute to publications are offered. Strong organizational and teamwork skills are essential for success in this position.

Qualifications

• Bachelor’s degree in relevant field required.
• Prior experience in data analysis or bioinformatics preferred.
• Strong work ethic and ability to learn new techniques.

Responsibilities

• Perform data analysis and computational workflows.
• Lead or support bioinformatics analyses.
• Integrate clinical and molecular datasets.
• Maintain meticulous records and documentation.
• Liaise with clinical teams for project integration.

Skills

Data analysis

Bioinformatics (R/Python)

Organizational skills

Communication

Teamwork

Education

Bachelor’s degree in Life Sciences, Biomedical Sciences, or Molecular Biology

Tools

R

Python

Excel

GraphPad

Job description

Job Title: Research Assistant (Medicine Chronic Hepatitis B (CHB)

University-Level Unit: Yong Loo Lin School of Medicine

Faculty/Department-Level Unit: Medicine

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 07/04/2026

Job Description

Chronic Hepatitis B (CHB) remains a major global health challenge, and functional cure, defined by HBsAg loss and immune restoration , is rarely achieved.

Our multidisciplinary program integrates clinical cohorts with mechanistic laboratory studies to uncover how hepatocytes transition from a pro-viral tolerant state to an immune-reactive flare state that precedes viral clearance.

This program is supported by longitudinal clinical datasets and paired liver biopsies, generating high-dimensional multi-omic data that require computational analysis to resolve intrahepatic immune and viral state transitions.

This research aims to identify molecular triggers and therapeutic targets that drive immune-mediated HBV flares, combining hepatocyte biology, RNA therapeutics, and spatial transcriptomics.

A major component of this work involves analysis of spatial transcriptomics and transcriptomic datasets to map cellular states, trajectories, and microenvironmental interactions associated with HBV flare and functional cure.

Key Responsibilities

Perform data analysis and computational workflows supporting the project.

Lead Or Support Bioinformatics Analyses Including

RNA-seq and spatial transcriptomics data processing

Dimensionality reduction (PCA, PHATE, diffusion maps)

Trajectory and state-transition analysis

Pathway and gene set enrichment analyses

Integration of clinical and molecular datasets

Work with existing pipelines (R/Python) and contribute to development of reproducible analysis workflows.

Maintain meticulous experimental records, data organization, and documentation.

Support data analysis and visualization (Excel, GraphPad, or Python/R if skilled).

Liaise with clinical teams and collaborators to integrate computational findings with clinical and translational aspects of the project.

Limited exposure to experimental workflows may be available if required.

Qualifications

Bachelor’s degree in Life Sciences, Biomedical Sciences, or Molecular Biology.

Prior experience in data analysis, coding (R/Python), or bioinformatics is strongly preferred.

Experience with hepatocyte or viral systems (HBV, HCV, etc.) is an advantage.

Prior wet-lab experience (cell culture, molecular assays) is not required but may be considered an advantage.

Strong work ethic, curiosity, and ability to learn new techniques quickly.

Willingness to be trained in new computational and/or experimental techniques as required.

Excellent organizational, communication, and teamwork skills.

Training & Opportunities

Exposure to cutting-edge platforms: RNA therapeutics, AAV-HBV1.2 mouse models, and spatial transcriptomics (CosMx).

Hands-on training in bioinformatics workflows, including transcriptomic and spatial data analysis, using real clinical datasets.

Opportunity to contribute to high-impact publications and national translational HBV consortia.

Ideal stepping stone for candidates aiming for PhD training or biomedical research careers.

Req ID: 32334