National Cancer Centre of Singapore Pte Ltd

Research Fellow (Computational Biologist)

Job Category:  Research
Posting Date:  25 Feb 2024

We are seeking a highly motivated Research Fellow to join the Department of Medical Oncology, National Cancer Centre Singapore (NCCS) and Institute of Molecular and Cell Biology (IMCB), A*STAR, Singapore. You will be part of a large collaborative project involving clinician-scientist, research fellows and clinical coordinators to profile the transition of lung cancers across different malignancy stages using bulk, single cell, and spatial RNA-sequencing technologies. You will aim to resolve the evolution and resistance of non-small cell lung cancer and implement correlation statistics with clinical variables. 

You will lead on:

1. Implementing and optimising existing computational tools for high throughput single-cell and spatial transcriptomic datasets at scale.
2. Data interpretation and management for publications and grant reports.
3. Establishing novel genomics and bioinformatics tools for multimodal data integration.

Main Responsibilities:

  • Lead in validation of clinical samples from NCCS

- He/she will be involved in processing and analysing genomics datasets, from WGS/WES to bulk and single cell RNA-sequencing.
- He/she will also process spatial transcriptomics datasets from different sequencing platforms (RNAscpope, Nanostring).
- Ensure proper clinical metadata curation and maintain raw sequencing files and analysis codes in secured compute environment. Involved in internal and external presentations on data.

  • Mentorship to students and trainees (computational biology)

- Provide guidance and mentorship to students for data analysis

  • Be able to overcome complexity of patient genomics data in healthcare system

- Understand data sharing policy and risk assessment when dealing with patient genomics data.
- Perform data sharing best practise, including data anonymisation and double-blind.
- Work closely with bioinformaticians and data scientists from NCCS Data Science Core. 

  • Make recommendations to Team Leads on work plan and findings on clinical samples. 
  • Troubleshoot coding issues. 
  • Weekly updates and meeting with supervisor from NCCS and ASTAR.
  • Supervise 2 computational student/interns 


  • Doctor of Philosophy (Ph.D.) in computational biology, bioinformatics, statistics, genomics or related technical discipline.
  • Demonstrate proficiency in R or Python and Unix/Linux shell scripting.
  • Experience with Docker and/or Singularity containerized jobs.
  • Experience in using cloud computing infrastructure. 
  • Good publication records, with at least first author publications in high quality journals. 
  • Excellent communication skills and the ability to work independently.
  • Excellent problem solving and troubleshooting skills.
  • Demonstrate interest in cancer biology and high-resolution genomics. 

Note: Finalised candidate will be hired under A*STAR.