全职 Research Assistant-Research Associate (Lymphoma molecular - spatial omics profiling) 工作, 薪水, National University Of Singapore 公司招聘中 - Ricebowl

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 (*************)
• PMID: 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