Garvan Summer Scholarship Program 2026/27
Core
Undergraduate research program in computational biology and machine learning focusing on genomics, cancer biology, and spatial proteomics.
Role type
Undergraduate Research Scholar (Computational Biology/ML)
Builds
Deep learning models for gene regulatory networks, machine learning pipelines for cell annotation, and curated protein annotation databases.
Domain
Biotechnology / Computational Biology / Genomics / Cancer Research
Deliverable
production ML models | research
Required skills
Python, R, SQL, deep learning, machine learning, bioinformatics, data curation, statistics, command line proficiency
Preferred skills
single-cell data analysis, multi-omics integration, spatial transcriptomics, mass spectrometry, CRISPR perturbation data analysis
Technologies
Python, R, SQL, deep learning frameworks, single-cell genomics datasets, spatial mass spectrometry imaging
Responsibilities
Curate and harmonize multi-omics and perturbation data; develop deep learning approaches to infer gene regulatory networks; build machine learning models to investigate cancer reprogramming; design and populate peptide/protein annotation databases; annotate cell types in spatial transcriptomics data.
Seniority
Undergraduate (Summer Intern)