Computational Drug Discovery Researcher Reproductive Health in Melbourne

Computational Drug Discovery Researcher Reproductive Health in Melbourne

Melbourne Full-Time 63000 - 77000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead computational analyses for contraceptive discovery and design robust 'omics pipelines.
  • Company: The University of Melbourne, a leading institution in scientific research.
  • Benefits: Full-time role with mentorship, collaboration, and career development opportunities.
  • Other info: Collaborative environment with access to large-scale datasets.
  • Why this job: Make a real impact in reproductive health through innovative research.
  • Qualifications: Experience in computational analysis and proficiency in R/Python.

The predicted salary is between 63000 - 77000 $ per year.

The University of Melbourne invites applications for a full-time, fixed-term role in the Faculty of Science, School of Bio Sciences.

You will lead computational analyses for contraceptive discovery, designing robust 'omics pipelines and co-authoring high-impact publications.

Mentorship and cross-institution collaboration offer strong career development opportunities.

You will work on large-scale datasets, develop reproducible pipelines in R/Python, and contribute to public resources while

Computational Drug Discovery Researcher Reproductive Health in Melbourne employer: University of Melbourne

The University of Melbourne is an exceptional employer, offering a vibrant and inclusive work culture that prioritises professional growth and well-being. As part of our Early Childhood Education Services team, you will enjoy generous benefits such as 17% superannuation, flexible work arrangements, and access to tailored career development programs, all while contributing to the transformative impact of education in a supportive university environment.

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Contact Details:

University of Melbourne Recruitment Team

We think you need these skills to ace Computational Drug Discovery Researcher Reproductive Health in Melbourne

Computational Analysis
Omics Pipelines Design
R Programming
Python Programming
Data Management
Large-scale Data Handling
Reproducible Research