Senior Research Fellow

As a Senior Research Fellow at Griffith University, you will be responsible for leading impactful research, managing and analyzing large datasets, and providing sound statistical advice on study design. Collaboration is key, so you'll engage with a wide network of researchers while having the opportunity to carve out your independent research path.

To qualify for the Senior Research Fellow role at Griffith University, candidates should possess a PhD or equivalent experience in (Bio)statistics or epidemiology. Additionally, a strong background in health research and proficiency with statistical software such as R or Stata is essential, along with demonstrated experience in utilizing a variety of statistical methods.

The Senior Research Fellow position at Griffith University is structured as a part-time role at 0.4 FTE, equating to 40% of a full-time workload. This gives you flexibility and a chance to balance your research contributions with other professional or personal commitments.

Griffith University offers comprehensive support for research fellows including a wide range of learning and development opportunities. Additionally, employees may take advantage of salary packaging options and corporate health discounts, as well as support for further learning through an educational staff assistance scheme.

Griffith University is committed to creating a safe and inclusive environment for all individuals. They actively encourage applications from Aboriginal and Torres Strait Islander peoples, as well as candidates from diverse backgrounds. The university prioritizes equity, diversity, and flexibility in its recruitment process.

It's essential to articulate specific examples highlighting your expertise in using statistical methods for health research, including the types of studies you've worked on, the statistical software you utilized, and the outcomes of your analyses.

Be sure to mention any relevant experiences with R, Stata, or other statistical tools. Discuss how you have used these software applications in past research projects to validate your proficiency.

Outline your step-by-step process for study design, emphasizing how you define research questions, select appropriate methods, and assess sample size requirements. Providing a clear explanation of your rationale shows your expertise in statistical planning.

Prepare a detailed response that includes the challenge, your methodology, the statistical techniques employed, and the implications of your findings. This demonstrates your ability to handle real-world problems effectively.

Mention any professional development endeavors such as attending workshops, courses, or conferences, and staying active in academic journals or research communities. This shows your commitment to lifelong learning in your field.

Discuss your conflict resolution strategies, emphasizing communication, collaboration, and a focus on common goals. Providing examples of past experiences where you successfully resolved conflict will help illustrate your approach.

Share personal stories or professional experiences that ignite your passion for biostatistics, perhaps focusing on how your work can lead to real-world health improvements and solutions.

Be prepared to present a clear overview of a past project, discussing your role, the methodologies used, the analysis undertaken, and how the results were received by the community or other researchers.

Emphasize your organizational skills, ability to prioritize tasks, and any tools or techniques you use to keep yourself on track, which demonstrates your readiness for a dynamic work environment.

This is your chance to show genuine interest; ask about the research culture, collaboration opportunities, or specifics on mentorship and resources available for research fellows.