Postdoctoral Fellow in AI/ML for Spatial Omics (Complex Cellular Phenotype Analysis
A*STAR RESEARCH ENTITIES
Singapore, Singapore
Not specified
Python and r programming proficiency
Deep learning frameworks tensorflow pytorch
Ai/ml modeling and statistical analysis
A*STAR Research Entities is seeking a Postdoctoral Fellow specializing in AI and Machine Learning for spatial omics and precision medicine at the Loo Lab in Singapore. The role involves developing AI/ML models for analyzing complex biological data related to cancer diagnostics, with opportunities for collaboration and leadership
Job Summary
The successful candidate will develop novel AI and ML models to analyze mass spectrometry data, large multiplex tissue images, and spatial transcriptomics data from cancer patients.
This role offers the opportunity to collaborate closely with biologists, physicians, and pathologists within an interdisciplinary team focused on precision medicine.
Candidates will be responsible for computational algorithm implementation, benchmarking, and publishing research findings in high-impact scientific journals.
Matching Summary
Match Score: 85
A*STAR Research Entities is seeking a Postdoctoral Fellow specializing in AI and Machine Learning for spatial omics and precision medicine at the Loo Lab in Singapore. The role involves developing AI/ML models for analyzing complex biological data related to cancer diagnostics, with opportunities for collaboration and leadership.
Skills & Requirements
Must-have
Python and R programming proficiency
Deep learning frameworks TensorFlow PyTorch
AI/ML modeling and statistical analysis
Molecular biology and cancer biology knowledge
Nice-to-have
Experience with metabolomics data analysis
Background in immunology and metabolism
Previous work with spatial transcriptomics
Strong scientific manuscript writing skills
Key Requirements
PhD or Master in Computer Science or related field
Proficiency in Python and R programming languages
Strong background in AI/ML modelling and statistics