Research Fellow, Pharmacy

24 Jan 2023
End of advertisement period
23 Feb 2023
Contract Type
Full Time

Job Description

The successful candidate will work with Dr Boxiang Liu on the development of novel computational models and the analysis of single-cell and spatial transcriptomics data. 

The main responsibilities of the position include:

  • Single-cell and single-nucleus RNA-seq analysis 
  • Spatial transcriptomic data analysis
  • Statistical modelling of single-cell and spatial transcriptomic data 
  • Designing novel deep learning architecture for spatial transcriptomic data


Qualifications / Discipline:  PhD degree in a relevant discipline (including computer science, statistics, genomics, bioinformatics, biology, etc.)

Skills: Computer Science / Statistics / Genomics / Bioinformatics

Experience:  Statistical modelling, deep learning, genomic data analysis 

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: Science
Department : Pharmacy
Job requisition ID : 17781

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