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- Tasks: Develop analysis plans and curate health data for impactful projects.
- Company: Leading academic institution in the UK focused on global health.
- Benefits: Unique opportunity to contribute to global health initiatives and advance your career.
- Why this job: Make a real difference in health data science and support decision-making tools.
- Qualifications: PhD/DPhil in a relevant field with advanced programming skills.
- Other info: Join a dynamic team dedicated to improving health outcomes worldwide.
The predicted salary is between 36000 - 60000 £ per year.
A leading academic institution in the UK seeks a highly motivated data scientist to support projects on harmonised health datasets and publicly available decision-support tools.
Key responsibilities include:
- Developing analysis plans
- Curating health data
- Programming in R/Python
Candidates must hold a PhD/DPhil in a relevant field and demonstrate:
- Advanced programming skills
- Experience in data visualization
- A strong understanding of epidemiology and health data sciences
This role offers a unique opportunity to contribute to global health initiatives.
Postdoctoral Health Data Scientist for Health Dashboards in Oxford employer: University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
Contact Detail:
University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Health Data Scientist for Health Dashboards in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the health data science field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in R/Python and data visualisation. We recommend including any relevant work with health datasets to really catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your epidemiology knowledge. We suggest practising common interview questions related to health data sciences, so you can confidently demonstrate your expertise when it counts.
✨Tip Number 4
Don’t forget to 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 genuinely interested in joining our team!
We think you need these skills to ace Postdoctoral Health Data Scientist for Health Dashboards in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in health data science, programming in R/Python, and any projects related to epidemiology. We want to see how your skills align with the role, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health data and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving health datasets or decision-support tools, make sure to mention them. We’re keen to see your practical experience and how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our mission in global health initiatives!
How to prepare for a job interview at University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
✨Know Your Data Inside Out
Make sure you’re well-versed in the health datasets relevant to the role. Brush up on your knowledge of epidemiology and how it applies to data science. Being able to discuss specific examples of how you've worked with health data will impress the interviewers.
✨Show Off Your Programming Skills
Since programming in R/Python is a key part of the job, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and visualisation techniques beforehand.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach developing analysis plans or curating health data. Think through potential scenarios and how you would tackle them, showcasing your problem-solving skills and analytical thinking.
✨Highlight Your Contribution to Global Health Initiatives
This role is about making an impact, so be ready to discuss any previous projects or research that align with global health initiatives. Share your passion for using data science to drive positive change in health outcomes.
