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- Tasks: Lead a major health data linkage project and collaborate with research partners.
- Company: Prestigious UK university known for innovative research.
- Benefits: Flexible working hours, attractive benefits, and part-time role.
- Why this job: Make a real impact in health research while developing your leadership skills.
- Qualifications: PhD in a relevant field and expertise in health datasets and statistics.
- Other info: Opportunity to produce high-quality research outputs in a supportive environment.
The predicted salary is between 30000 - 42000 £ per year.
A prestigious university in the UK seeks a motivated Postdoctoral Fellow to manage a major data linkage project. This role involves leading the project from inception to dissemination, collaborating with research partners, and producing high-quality research outputs.
Candidates must have a PhD in a relevant field and possess expertise in health administrative datasets and statistical methods. The position is part-time (17.5 hours per week) and includes flexible working arrangements and attractive benefits.
Health Data-Linkage Postdoc: Analytics & Leadership employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Health Data-Linkage Postdoc: Analytics & Leadership
✨Tip Number 1
Network like a pro! Reach out to your academic contacts and let them know you're on the lookout for opportunities. You never know who might have a lead on a project that fits your skills perfectly.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or a presentation that highlights your previous work with health administrative datasets and statistical methods. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues to refine your responses. Focus on how you can lead projects and collaborate effectively, as these are key aspects of the role.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and contributing to exciting projects.
We think you need these skills to ace Health Data-Linkage Postdoc: Analytics & Leadership
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in health data and statistical methods. We want to see how your background aligns with the project, so don’t be shy about showcasing your PhD work!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your skills can contribute to the project. We love seeing enthusiasm and a clear understanding of the position.
Showcase Collaboration Skills: Since this role involves working with research partners, make sure to mention any previous collaborative projects. We value teamwork, so highlight your ability to lead and work well with others in your application.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at UNSW
✨Know Your Data Inside Out
Make sure you’re well-versed in health administrative datasets and statistical methods. Brush up on your previous projects and be ready to discuss how your expertise can contribute to the data linkage project.
✨Showcase Your Leadership Skills
Since this role involves leading a project, prepare examples of how you've successfully managed teams or projects in the past. Highlight your ability to collaborate with research partners and drive initiatives from inception to dissemination.
✨Prepare Thoughtful Questions
Think about what you want to know regarding the project and the university's research environment. Asking insightful questions shows your genuine interest and helps you assess if the role is the right fit for you.
✨Flexibility is Key
As the position offers flexible working arrangements, be prepared to discuss how you manage your time effectively. Share examples of how you’ve balanced multiple responsibilities while maintaining high-quality outputs.
