Scientist, Laboratory of Computational Cancer Genomics (GIS)

We seek a talented and motivated postdoctoral fellow to join the computational biology group of Dr. Anders Jacobsen Skanderup (SkandLAB). The successful candidate will join a highly integrated and mission-oriented team of scientists and medical doctors working to decipher the causes of lung cancer and improving treatments. We are generating and collecting massive data sets comprising genetic, molecular, and medical record data from thousands of lung cancer patients across Asia. This creates a unique opportunity and environment to develop data-driven statistical and computational approaches to decipher the genetic and molecular determinants of drug response in lung cancer patients. We seek individuals that thrive in a team environment.

Requirements:

1. PhD in Bioinformatics, Computational Biology, (Bio)statistics, or related field with strong emphasis on quantitative data analysis. Alternatively a PhD in another field but with strong and documented data-analysis and machine learning skills.
2. Proven excellence in research (e.g. publication in reputable journals)
3. Strong experience with analysis of cancer genomics data (genomics and transcriptomics) is a requirement.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.