A*STAR

Postdoctoral Fellow/Research Officer in AI/ML for Spatial Omics (Complex Cellular Phenotype Analysis

A*STAR
ResearchSingaporeFull-time3 weeks ago

About the role

AI summarised

A postdoctoral research fellow or research officer position at A*STAR's Bioinformatics Institute in Singapore, focusing on developing AI/ML models for spatial omics and precision medicine. The role involves analyzing mass spectrometry data, multiplex tissue images, and spatial transcriptomics to develop biomarkers for cancer diagnosis.

ResearchFull-timeBioinformatics Institute

Key Responsibilities

  • Develop and apply novel AI and ML models and methods for analyzing mass spectrometry data (LC/MS and MSI), large multiplex tissue images, and spatial transcriptomics data collected from cancer patients.
  • Perform computational algorithm implementation and benchmarking.
  • Present research findings at international conferences.
  • Publish in high-impact scientific journals.
  • Collaborate closely with biologists, physicians, and pathologists.
  • Senior candidate with relevant previous experience may also have the opportunity to plan and lead new projects.

Requirements

  • PhD or Master in Computer Science, Bioinformatics, Computational Biology, Chemical Engineering, Molecular and Cell Biology, Cancer Biology, or a related field.
  • Proficiency in Python and R programming languages.
  • Strong background in AI/ML modelling, statistics, and data analysis and visualization.
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for image analysis and data modelling is required.
  • Basic knowledge of molecular biology, cancer biology, metabolism, and immunology is required.
  • Previous experience in analyzing metabolomics and/or multiplex tissue image is highly desirable.
  • Good spoken and written communication skills, especially for the preparation of scientific manuscripts and reports.
  • The ability to work effectively in a collaborative team setting.