BII - Artificial Intelligence (AI) for Multiplex Imaging and Spatial Omics Traineeship [GRIT@Gov]

Descripción del puesto:

What the role is

As an Trainee at Bioinformatics Institute (BII), you will analyze multiplex tissue images, spatial transcriptomics data, and mass spectrometry data, including deriving novel biological insights from the data using AI models.

What will you be working on

The successful candidate will be part of an interdisciplinary team working on the development of new biomarkers, and metabolomics data analysis methods for cancer diagnosis and precision medicine. His/her main responsibility is to develop and apply novel AI and ML models and methods for analyzing mass spectrometry data (LC/MS), large multiplex tissue images, and spatial transcriptomic and metabolomic data collected from cancer patients.

What we are looking for

Job Requirements

* PhD or Master degree in Computer Science, Bioinformatics, Computational Biology, Chemical Engineering, Molecular and Cell Biology, Cancer Biology, or a related field.

Key Competencies Required

* 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

About your application process

This job is closing on 19 Nov 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and apply for other roles within A*STAR or the wider Public Service