
Quantitative Data Analyst
4 days ago
The position involves applying statistical principles to molecular biology, biological experiments, and human studies with both sparse and large datasets.
This role offers opportunities to engage in scientific research as part of the position.
Responsibilities and Tasks- Apply statistical methodologies to design and apply statistical principles and techniques for data collection.
- Organise and interpret quantitative data from various sources.
- Utilise statistical knowledge to produce comprehensive reports and analyses.
- Develop computationally efficient and reproducible statistical analyses and methods.
- Create high-quality data visualisations to communicate results effectively.
- Coordinate projects involving researchers and professionals from diverse backgrounds.
- A strong background in statistics and mathematics as applied to medicine and biology is crucial.
- The ideal candidate holds a doctoral degree in a quantitative discipline such as Applied Mathematics, Applied Statistics, Biomedical Engineering, or Bioinformatics.
- Experience with data analysis in biological or clinical contexts is required.
- Proficiency in programming languages, specifically Python and R, with additional experience in C++ being preferable.
- Experience in Bash scripting is also desired.
- Excellent problem-solving skills and attention to detail are necessary.
- Maintaining a positive attitude toward collaboration and self-directed learning is expected.
- Hold a valid unrestricted work visa in Australia for the duration of this employment.
- Complete all required pre-employment and background checks to satisfaction.
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