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: 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
- PMID: 38459052 (https://pubmed.ncbi.nlm.nih.gov/38459052)
- PMID: 35021606 (https://pubmed.ncbi.nlm.nih.gov/35021606)
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
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