Research Fellow in Statistical Omics

The University of Melbourne

Parkville, Victoria, Australia

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Expired

Dates

Location

Salary

Responsibilities

Develop advanced statistical methods for integrating omics data to enhance biological understanding.
Collaborate with top experts across statistics, computational biology, and biology to drive interdisciplinary research and career growth.
Contribute towards the research effort of the team and develop your research expertise with an increasing degree of autonomy.
Conduct internationally competitive research, resulting in publications in high impact journals.
Contribute to and publish academic papers and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne.
Actively participate in research seminars and conferences to disseminate research findings as opportunities arise.
Contribute to the preparation, or where appropriate individual preparation of research proposal submissions to internal or external funding bodies as relevant.

Requirements

A PhD or equivalent research higher degree in statistics, or interdisciplinary computational statistics research in genomics or a related area.
Strong computer programming skills in R and experience in software development.
Experience in multivariate statistical analysis.
Knowledge of mammalian molecular biology and genomics.

Benefits

Notes

This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check.