Job Description
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: 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
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, [Confidential Information]/ Dr Reagan Entigu, [HIDDEN TEXT].
More Information
Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department : Pathology
Employee Referral Eligible: No
Job requisition ID : 31310
