Research Associate, Lee Kong Chian School of Medicine

19 Nov 2020
End of advertisement period
19 Dec 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.

Similar jobs

Similar jobs