Research Associate, Lee Kong Chian School of Medicine

5 days left

10 Jun 2020
End of advertisement period
10 Jul 2020
Contract Type
Full Time

Lee Kong Chian School of Medicine invites applications for:

Bioinformatic Research Associate in the Laboratory of Asst. Prof. Sarah Langley

The laboratory of Asst. Prof. Sarah Langley at the Lee Kong Chian School of Medicine is currently recruiting a Bioinformatic Research Associate to work in the area of omics integration and analysis.

We are a newly formed computational biology research group focused on understanding disease mechanisms through the analysis of, and method development for, large-scale omics data. The laboratory is based at the Lee Kong Chian School of Medicine (LKCMedicine), a joint medical school between Imperial College London and Nanyang Technological University (NTU).

We are looking for a highly motivated bioinformatician with an interest in human disease and omics integration/analysis.


Provide leadership and expertise in conducting complex research activities, including but not limited to planning, organizing, conducting, and communicating research studies within the overall scope of research projects at LKCMedicine.

  • Utilize and/or developing computational tools, including but not limited to, those written in R/Python/Java
  • Develop and use next generation sequencing pipelines for projects within the group
  • Maintain up-to-date knowledge of bioinformatics tools and related research efforts
  • Provide guidance and support to researchers, undergraduate and graduate students
  • Perform other related duties incidental to the work described herein

Skills and qualifications:

  • Masters or equivalent research experience in a related scientific area (eg Bioinformatics, Computational Biology, Life Sciences, Computer Sciences, Statistics)
  • Experience with R/Python/Java or similar languages and with Unix based platforms
  • Knowledge of next generations sequencing (genomics, bulk and/or single cell transcriptomics), mass spectrometry proteomics, neuroscience, statistics, bioinformatics or high dimensional data analysis
  • Strong project management skills
  • Ability to work harmoniously with a diverse workforce
  • Expertise in publication-grade data visualization is highly desirable

Application Procedure:

If you are interested to pursue a career with the School, please apply with your cover letter, CV and names/ contact details of two references at your earliest convenience.

Only shortlisted candidates will be notified.

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