Job Description

Job Title:  Research Assistant/Research Associate (Lymphoma molecular & spatial omics profiling)
University-Level Unit:  Yong Loo Lin School of Medicine
Faculty/Department-Level Unit:  Pathology
Employee Category:  Research Staff
Location_ONB:  Kent Ridge Campus
Posting Start Date:  31/03/2026

Job Description

Overview

The Department of Pathology at the National University of Singapore invites applications for a Research Assistant to join a multidisciplinary team studying haematolymphoid malignancies, with a focus on lymphoma. The lab integrates genomics, digital pathology, and advanced spatial platforms to advance biomarker discovery and pre-clinical testing of novel therapeutic agents. Your contributions will support improvements in diagnosis, prognosis, and therapeutic targeting for patients with lymphoma.

Key Responsibilities

  • Perform experiments in cell culture and molecular biology to support translational research projects.
  • Conduct protein and nucleic-acid workflows, including Western immunoblotting and DNA/RNA-based assays.
  • Support genomics/epigenomics-related sample preparation and profiling workflows (e.g., DNA/RNA/methylome-related procedures) as required by project needs.
  • Optimise protocols, troubleshoot experimental issues and maintain reproducible workflows.

 

Support role (administration and safety)

  • Provide administrative support for research activities as needed.
  • Support lab safety and compliance by maintaining records, following SOPs/biosafety requirements, and assisting with audits and safety training.

Qualifications

  • Bachelor’s or Master degree in life sciences, biomedical sciences, biochemistry, or a closely related field from a well-recognised university.
  • Hands-on experience with molecular biology workflows, preferably involving DNA/RNA extraction and QC, PCR/qPCR
  • Strong organisational skills, attention to detail, and excellent written and oral communication.
  • Ability to work independently and collaboratively in a diverse, interdisciplinary research environment.

 

Preferred (advantageous but not required)

  • Familiarity with NGS and/or omics platforms (e.g., bulk RNA-seq, targeted sequencing panels, scRNA-seq, methylation or proteomics workflows)
  • Willingness to learn bioinformatics and data analysis, with any prior exposure to R/Python, basic command-line, or analysis pipelines

 

What We Offer

  • Training and mentorship in advanced spatial transcriptomics/proteomics, digital pathology pipelines, and reproducible research practices.
  • Collaboration opportunities with pathologists, oncologists, and computational biologists.
  • Opportunities for co-authorship on publications and conference presentations, commensurate with contribution.
  • A supportive and inclusive lab culture focused on rigorous, patient-impactful science.

 

Representative Publications

 

Application Procedure:

  • Curriculum vitae (including education, relevant experience, and a list of technical skills)
  • Cover letter (briefly describe your fit, motivation, and earliest start date)
  • Academic transcript(s) (unofficial copies accepted at application stage)
  • Contact information for 3 referees