Postdoctoral Fellow: AI/ML for Spatial Omics & Cancer Biomarkers

A*STAR RESEARCH ENTITIES; Singapore; Sur place; SGD 60 000 - 85 000; Plein temps

Résumé du poste

The Bioinformatics Institute (BII) at A*STAR in Singapore invites applications for a postdoctoral research fellow in AI/ML for spatial omics and precision medicine. You will develop novel AI models to analyze LC-MS, MSI, and spatial transcriptomics data from cancer patients.

Collaborate with biologists, physicians and pathologists; present at international conferences and publish in high-impact journals. Senior candidates may lead new projects.

Qualifications

• 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.

Responsabilités

• Develop and apply novel AI and ML models and methods for analyzing LC/MS, MSI, and spatial omics data.
• Implement computational algorithms and benchmarking; code and validate methods.
• Present research findings at international conferences and publish in high-impact journals.
• Collaborate closely with biologists, physicians, and pathologists.

Connaissances

Python

R

AI/ML modelling

Data analysis

Communication

Formation

PhD or Master in Computer Science or Bioinformatics

Outils

TensorFlow

PyTorch

Description du poste

The Bioinformatics Institute (BII) at A*STAR in Singapore invites applications for a postdoctoral research fellow in AI/ML for spatial omics and precision medicine. You will develop novel AI models to analyze LC-MS, MSI, and spatial transcriptomics data from cancer patients.

Collaborate with biologists, physicians and pathologists; present at international conferences and publish in high-impact journals. Senior candidates may lead new projects.