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Research Assistant / Research Associate (CCB/SG)

Date: 22-Sep-2022

Location: Outram Campus, SG

Company: National University of Singapore

Job Description

The Duke-NUS Centre for Computational Biology provides a nucleus for expertise in computational biology to study key questions in biomedical research.

We are currently seeking a Research Assistant / Research Associate in Computational Biology for the laboratory of Associate Professor Sujoy Ghosh. The lab’s research applies computational system biology approaches to understand the genetic and genomic architecture underlying metabolic, cardiovascular, oncologic, neurologic and infectious diseases. The selected candidate will be part of a core analysis group and have the opportunity to explore and apply innovative, cutting-edge data analytic tools and approaches to enhance the research capabilities of multiple investigators in a highly collaborative framework.

The selected candidate will be expected to perform duties that support the research activities, including but not limited to the following: 

  • Carry out computational and bioinformatics analysis for transcriptomics, next generation sequencing, and genome-wide association studies.
  • Communicate scientific information in the form of laboratory notebooks, oral presentations, text, figures, and scientific manuscripts.
  • Perform routine duties related to the research study, such as data curation and making backups.
  • Ensure optimal progress of participating research projects.
  • Provide guidance to interns.
  • Maintain safety protocols, conduct risk assessments, and ensure compliance with safety procedures and laboratory practice agreements.
  • Perform other related duties incidental to the work described therein.

Job Requirements

  • Bachelor’s or Master’s Degree in Computer Science, Bioinformatics, Statistics, Biostatistics, or related field, with relevant training and experience.
  • Familiar and experience with handling and manipulation of large, multi-dimensional data sets.
  • Fluent in the use of the R statistical analysis software.
  • Prior experience with analysing next generation sequencing data (i.e. RNAseq, Chipseq, single cell sequencing etc) and with one or more additional applications (i.e. Perl, SAS, Matlab, Python) preferred. 
  • A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.


We regret that only shortlisted candidates will be notified.

More Information

Location: Outram Campus
Organization: Duke-NUS Medical School
Department : Office of Research 
Employee Referral Eligible: No
Job requisition ID : 9927