Genomics Research Assistant – Pediatrics (NGS & Data)

National University of Singapore; Singapore; On-site; SGD 39,000 - 56,000; 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 contract appointment supports NGS data analysis and development of analytical pipelines.

You will work closely with the PI and study team, assist with procurement of lab consumables, and ensure compliance and data integrity.

Qualifications

• Bachelor's degree in Life Sciences or related field required.
• Basic proficiency with data analysis tools (Python, GATK) and handling large-scale genomic data.
• Strong teamwork and collaboration skills; ability to work independently with minimal supervision.

Responsibilities

• Perform NGS data processing and analysis, and downstream statistical analyses as appropriate to project aims.
• Develop new analytical pipelines, with focus on structural variants curation.
• Consolidate, clean, and manage datasets with traceable, reproducible workflows.
• Generate interpretable outputs (figures, tables, dashboards) and concise analytical summaries for progress updates, manuscripts, and reports.
• Organize regular project meetings, prepare agendas, circulate materials, record minutes, and track actions.

Skills

Teamwork

Communication

Independent work

Education

Bachelor's degree in Life Sciences or related

Tools

Python

GATK

Job description

Job Title: Research Assistant (Paediatrics)

University-Level Unit: Yong Loo Lin School of Medicine

Faculty/Department-Level Unit: Paediatrics

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 27/08/2026

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

Essential

• 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. Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

Req ID: 34212