Postdoc: AI/ML for Spatial Omics & Precision Medicine

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading research institute in Singapore is offering a postdoctoral research fellow position in Artificial Intelligence (AI) and Machine Learning (ML) focused on spatial omics and precision medicine. The role involves developing AI/ML models for analyzing mass spectrometry and large multiplex tissue images, with opportunities for collaboration and project leadership. Candidates should possess a PhD or Master’s degree in a relevant field, proficiency in Python and R, and a strong background in data analysis and visualization. Prior experience in related fields is highly desirable.

Qualifications

• PhD or Master's in a relevant field.
• Proficiency in Python and R programming.
• Strong background in AI/ML modelling and data analysis.
• Experience with deep learning frameworks for image analysis.
• Basic knowledge of molecular and cancer biology.
• Previous experience in analyzing metabolomics is desirable.
• Good communication skills for scientific writing.

Responsibilities

• Develop and apply AI and ML models for analyzing mass spectrometry data.
• Collaborate on the development of new biomarkers.
• Benchmark computational algorithms.
• Present research findings at international conferences.
• Publish in high-impact scientific journals.

Skills

Proficiency in Python

Proficiency in R

AI/ML modelling

Statistics

Data analysis

Data visualization

Education

PhD or Master in Computer Science

Bioinformatics

Computational Biology

Chemical Engineering

Molecular and Cell Biology

Cancer Biology

Tools

TensorFlow

PyTorch

Job description

A leading research institute in Singapore is offering a postdoctoral research fellow position in Artificial Intelligence (AI) and Machine Learning (ML) focused on spatial omics and precision medicine. The role involves developing AI/ML models for analyzing mass spectrometry and large multiplex tissue images, with opportunities for collaboration and project leadership. Candidates should possess a PhD or Master’s degree in a relevant field, proficiency in Python and R, and a strong background in data analysis and visualization. Prior experience in related fields is highly desirable.