Research Officer in AI/ML for Spatial Omics (Complex Cellular Phenotype Analysis * External Job Title
A*STAR RESEARCH ENTITIES
Singapore, Singapore
Not specified (likely onsite based on the context).
Proficiency in python and r programming languages
Experience with deep learning frameworks like tensorflow or pytorch
Strong background in ai/ml modelling and statistics
A*STAR Research Entities is seeking a Research Officer specializing in AI/ML for spatial omics and precision medicine at the Bioinformatics Institute in Singapore. The role involves developing AI/ML models for analyzing cellular phenotype data and collaborating with interdisciplinary teams to enhance cancer diagnosis
Job Summary
The successful candidate will develop and apply novel AI and ML models for analyzing mass spectrometry data, large multiplex tissue images, and spatial transcriptomics data.
This role involves working within an interdisciplinary team to create new biomarkers and metabolomics data analysis methods for cancer diagnosis and precision medicine.
Candidates will be responsible for computational algorithm implementation, benchmarking, and presenting research findings at international conferences.
Matching Summary
Match Score: 85
A*STAR Research Entities is seeking a Research Officer specializing in AI/ML for spatial omics and precision medicine at the Bioinformatics Institute in Singapore. The role involves developing AI/ML models for analyzing cellular phenotype data and collaborating with interdisciplinary teams to enhance cancer diagnosis.
Skills & Requirements
Must-have
Proficiency in Python and R programming languages
Experience with deep learning frameworks like TensorFlow or PyTorch
Strong background in AI/ML modelling and statistics
Nice-to-have
Previous experience analyzing metabolomics data
Experience with large multiplex tissue images
Ability to collaborate with biologists and pathologists
Key Requirements
Master's degree in Computer Science, Bioinformatics, or related field
Basic knowledge of molecular biology, cancer biology, metabolism, and immunology