University of Melbourne
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Research Assistant in Computational Drug Discovery

GraduateJuniorFull-timeHybridMelbourne VIC, AustraliaPosted 2 months agoVerified 2 months ago
Pending fitX of Y criteria met

About the job

This job is about leading computational analyses for a collaborative contraceptive discovery project within the School of BioSciences. The impact of this work is significant, as it contributes to innovative research in women’s and reproductive health. The team thrives in a supportive, interdisciplinary environment that values curiosity, inclusion, and career development.

You'll be responsible for

🔍

Leading computational analyses

Lead computational analyses of large ‘omics datasets, including single-cell, spatial transcriptomic, proteomic and metabolomic data.
⚗️

Implementing molecular simulations

Implement and optimise molecular docking, molecular dynamics simulations and protein modelling approaches for contraceptive candidate discovery.
📈

Developing analysis pipelines

Develop, document and share reproducible, version-controlled analysis pipelines and notebooks using R, Python, Bash and HPC.

Key criteria

🔬

Computational biology expertise

Experience with computational biology techniques and methodologies.

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📊

Data analysis skills

Proven ability to analyze large ‘omics datasets effectively.

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💻

Programming proficiency

Demonstrated skills in R and Python for data analysis.

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Meet the team

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3 criteria for this job
Computational biology expertise
Experience with computational biology techniques and methodologies.

View

Data analysis skills
Proven ability to analyze large ‘omics datasets effectively.

View

Programming proficiency
Demonstrated skills in R and Python for data analysis.

View

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