Research Assistant (Paediatrics)

National University of Singapore; Singapore; On-site; SGD 36,000 - 60,000; Full time

Job summary

The National University of Singapore invites applications for a Research Assistant in the Renal Immunology & Genetics (IMM-RIG) division, Department of Paediatrics, Yong Loo Lin School of Medicine. This is a contract appointment with potential extension.

The role focuses on NGS data processing, development of new analytical pipelines, and maintenance of research databases, with involvement in procurement and lab safety/compliance reviews.

Qualifications

• Bachelor’s degree with good results in Life Sciences or related field.
• Basic proficiency with data analysis tools (Python, GATK) and handling large genomic datasets.
• Strong teamwork, ability to work independently with minimal supervision.
• Clear, timely communication with the Principal Investigator and reporting officers.
• Good interpersonal, proactive and organized.

Responsibilities

• Perform NGS data processing and analysis, and downstream statistical analyses as appropriate to project aims.
• Develop new analytical pipelines, with special interest in structural variants curation.
• Consolidate, clean, and manage datasets; ensure traceable, reproducible workflows (version-controlled scripts/notebooks, documented parameters, pipeline summaries).
• Generate interpretable outputs (figures, tables, dashboards) and concise analytical summaries for progress updates, manuscripts, and reports.
• Conduct literature searches to inform experimental design and analytical approaches; benchmark methods and recommend tools/pipelines aligned with project goals.
• Organize regular project meetings: schedule, prepare agendas, circulate materials, record minutes, track actions, and follow up to maintain alignment across study sites and team members.

Skills

Python

Teamwork

Communication

GATK

Education

Bachelor's degree in Life Sciences

Tools

GATK

Job description

The National University of Singapore invites applications for Research Assistant in the Renal Immunology & Genetics (IMM-RIG) division, Department of Paediatrics, Yong Loo Lin School of Medicine. Our clinical and laboratory research aims to elucidate kidney diseases with suspected genetic etiologies to advance diagnostics and therapies and improve long‑term outcomes. This is a contract appointment, with the possibility of extension.

Purpose of the post

The Research Assistant will work closely with the Principal Investigator, Research Fellows, and the study team to support successful project delivery. Key responsibilities include NGS data analysis, development of new analytical pipelines, and maintenance of research databases. The role also covers procurement of laboratory consumables and participation in periodic reviews of laboratory safety and compliance.

Main Duties and Responsibilities

Dry Lab (Data Analysis)

• Perform NGS data processing and analysis, and downstream statistical analyses as appropriate to project aims.
• Develop new analytical pipelines, with special interests in structural variants curation.
• Consolidate, clean, and manage datasets; ensure traceable, reproducible workflows (e.g., version-controlled scripts/notebooks, documented parameters, pipeline summaries).
• Generate interpretable outputs (figures, tables, dashboards) and concise analytical summaries for progress updates, manuscripts, and reports.
• Conduct literature searches to inform experimental design and analytical approaches; benchmark methods and recommend tools/pipelines aligned with project goals.

Administrative and Project Support

• Organize regular project meetings: schedule, prepare agendas, circulate materials, record minutes, track actions, and follow up to maintain alignment across study sites and team members.
• Support general project administration and perform other related duties as delegated by the Research Fellow.

Qualifications

• Bachelor’s degree with good results in Life Sciences or a related discipline.
• Basic proficiency with data analysis tools (e.g. Python, GATK), with experience in handling and analysing large-scale cohort genomic data.
• Strong teamwork and collaboration altitude, with the ability to work independently with minimal supervision.
• Clear, timely communication with the Principal Investigator and reporting officers; reliable documentation and follow-through.
• Good interpersonal skills; proactive, organized, and detail oriented.

Preferred

• Familiarity with research data management, QA/QC practices, and reproducible workflows.

Remuneration will be commensurate with the candidate’s qualifications and experience.