About the role
AI summarisedJoin the computational biology group of Dr. Anders Jacobsen Skanderup (SkandLAB) as a postdoctoral fellow in a highly integrated team dedicated to deciphering the causes of lung cancer and improving treatments. This role involves applying data-driven statistical and computational approaches to massive datasets of genetic, molecular, and medical records from lung cancer patients across Asia.
ResearchOnsiteGenome Institute of Singapore
Key Responsibilities
- Develop data-driven statistical and computational approaches to study lung cancer.
- Analyze massive datasets comprising genetic, molecular, and medical record data from thousands of lung cancer patients.
- Decipher the genetic and molecular determinants of drug response in lung cancer patients.
Requirements
- PhD in Bioinformatics, Computational Biology, (Bio)statistics, or a related field with a strong emphasis on quantitative data analysis.
- Alternatively, a PhD in another field coupled with strong and documented data-analysis and machine learning skills.
- Proven excellence in research, evidenced by publications in reputable journals.
- Strong experience with the analysis of cancer genomics data (genomics and transcriptomics).
- Excellent communication skills.