Brain Transcriptomics Research Associate (snRNAseq)

UNSW; Canberra; In loco; AUD 118.000 - 126.000; Tempo pieno

Descrizione del lavoro

The School of Psychology at UNSW is seeking a researcher to contribute to a brain transcriptomics project using snRNAseq. The role involves independent work and close collaboration with colleagues, with responsibility for open-source analysis pipelines and data governance.

A PhD in a relevant discipline is required, along with experience in gene expression data, programming skills, and a track record of high quality academic outputs.

Competenze

• A PhD in a relevant discipline and/or relevant work experience.
• Demonstrated experience collecting, processing, and analysing gene expression data.
• Strong quantitative and programming skills and experience developing reproducible analysis pipelines and/or open-source tools for large datasets.
• Experience with behavioural testing in mice and brain tissue collection and processing is preferred.
• Experience working with animal research ethics and data-governance requirements in neuroscience.
• Demonstrated ability to undertake high quality academic research with limited supervision.

Mansioni

• Contribute independently and collaboratively to a research project requiring collection, processing, analysis, and interpretation of snRNAseq data.
• Conduct research and enable teams to create high quality scholarly outputs recognised by peers.
• Undertake research projects under the guidance of a leader and contribute to development of activities.
• Support dissemination of research outcomes through appropriate channels.

Conoscenze

PhD-related discipline

Quantitative analysis

Programming

Open-source tools

Animal research ethics

Data governance

Collaboration

Open science practices

Formazione

PhD in a relevant discipline

Strumenti

R

Python

Open-source pipelines

Descrizione del lavoro

The School of Psychology at UNSW is seeking a researcher to contribute to a brain transcriptomics project using snRNAseq. The role involves independent work and close collaboration with colleagues, with responsibility for open-source analysis pipelines and data governance.

A PhD in a relevant discipline is required, along with experience in gene expression data, programming skills, and a track record of high quality academic outputs.