Post Doctoral Fellow

Post Doctoral Fellow: Computational Track/Wet Lab Track
September 09 2019
Position Type
Full Time
Organization Type
Job Type

Post Doctoral Fellow


Single-Cell In Situ Spatial Omics at subcellular Resolution (SCISSOR) is a well-supported multidisciplinary program that aims to introduce new paradigms for cancer biology and diagnostics, using spatial and non-spatial omics technologies. Our team comprises of computational biologists (lead: Shyam Prabhakar), oncologists (lead: Iain Tan), biotechnologists (lead: Kok Hao Chen), and pathologists (lead: Tony Lim) with a track record of combining cutting-edge computational and experimental approaches to infer disease mechanisms and develop clinical applications (Chen et al., Science 2015; Li et al., Nat Genet 2017; Sun et al., Cell 2016; Fukawa et al., Nat Med 2016; del Rosario et al., Nat Methods 2015; Kumar et al., Nat Biotechnol 2013; Lancet Oncol 2012).



We are looking for bright, motivated individuals who are interested in working on cutting-edge research projects that leverage single cell and spatial omics. Our interdisciplinary team combines experimental biology, technology development and computational biology to address major questions in cancer biology.

Position 1

Postdoctoral fellow 

Machine Learning and Mathematical Analysis of Spatial Transcriptomics Data 

Successful candidates will develop and apply algorithms for the analysis of large-scale cancer data. This will be a unique opportunity to lead computational analysis of new types of data in the nascent field of spatial transcriptomics.



  • Strong programming skills
  • Expertise in mathematics, computer science, statistics, engineering, machine learning, signal processing, computational genomics, or a related field
  • General quantitative intuition
  • Strong publication record
  • Strong communication skills
  • The ability to work closely with clinicians and experimental biologists

Position 2

Postdoctoral fellow
Assay Development, Cancer Markers and Mechanisms 

Successful candidates will have the opportunity to lead experimental design and execution for a spatial transcriptomics study looking at DNA and RNA changes in a variety of human cancers at subcellular resolution.



  • Expertise in cancer biology, immunology, genomics or related fields
  • Skilled in molecular and cellular assays
  • Strong publication record 
  • Team player and strong communication skills (oral and written)
  • The ability to work closely with clinicians and computational biologists


The Genome Institute of Singapore offers a competitive salary and a complete benefits package that ensures a very high living standard in one of the most modern cities in the world.

About the Organisation

The Genome Institute of Singapore (GIS), A*STAR Research Entitles is the national flagship program for genomic science in Singapore. GIS is located within the Biopolis, the biomedical research of hub of Singapore which houses, in close proximity, research institutes under the Agency of Science, Technology and Research (A*STAR), biotech startups and international pharmaceutical corporations. The applicant would have the opportunity to interact with scientists, bioinformaticians, clinicians, engineers and other professionals from all over the world in a vibrant, intellectually stimulating and scientifically curious setting. You will be part of a vibrant scientific community where you will have the opportunity to share your ideas and demonstrate your skills and passion for scientific research.  You can find out more about the Genome Institute of Singapore online:

Why Singapore?

Singapore, a city-state with one of the highest standards of living in the world, is an international hub for the biomedical sciences. Singapore is a tropical city with a rich Asian heritage and a modern style of living, and is an ideal gateway to explore Asia providing a unique experience and an excellent quality of life.

How to Apply

To apply, please email your CV and names of references to:,