Research Assistant - Queenstown - National University of Singapore

    National University of Singapore
    National University of Singapore Queenstown

    18 hours ago

    Description
    Job Title: Research Assistant (Lymphoma Biomarkers, Digital Pathology & Spatial Omics)

    Posting Start Date: 24/12/2025

    Job Description

    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
    • Tissue-based workflows: Organise pathology slides and tissue blocks; perform tissue sectioning and staining; conduct immunohistochemistry (IHC) and optimise/analyse multiplex immunofluorescence (mIF).
    • Tissue microarrays (TMAs): Select cases and coordinate TMA construction.
    • Digital pathology: Scan slides using commercial slide scanners and participate in image analysis.
    • Spatial omics: Coordinate spatial transcriptomics and proteomics experiments on platforms such as 10x Genomics Visium and NanoString GeoMx/CosMx.
    • Data handling and reporting: Maintain accurate laboratory records; analyse and consolidate experimental results; prepare reports, figures, and presentations for internal meetings and collaborators.
    • Compliance and operations: Adhere to laboratory SOPs, biosafety, and ethical guidelines; contribute to inventory, equipment maintenance, and general lab operations.

    Qualifications
    • Bachelor's degree in life sciences, biomedical sciences, biochemistry, or a closely related field from a well-recognised university.
    • Hands-on experience with histology or tissue-based workflows; prior experience with FFPE tissue in a clinical histopathology laboratory or research setting is preferred.
    • 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)
    • Experience with IHC/mIF optimisation, slide scanning, and digital image analysis (e.g., HALO, QuPath).
    • Familiarity with spatial omics platforms (10x Visium, NanoString GeoMx/CosMx).
    • Basic data analysis skills (e.g., image quantification pipelines; R/Python exposure).

    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.

    Other and Contact

    Representative Publications
    • PMID:
    • PMID:

    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

    Only shortlisted candidates will be notified. Applications will be reviewed on a rolling basis until the position is filled.

    For enquiries, please contact Prof Ng Siok Bian, Dr Reagan Entigu,

    More Information

    Location: Kent Ridge Campus

    Organization: Yong Loo Lin School of Medicine

    Department : Pathology

    Employee Referral Eligible: No

    Job requisition ID : 31310

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