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- Tasks: Provide analytical support for health research using healthcare data.
- Company: Prestigious university in Glasgow with strong NHS partnerships.
- Benefits: Competitive salary, diverse employee benefits, and a supportive work environment.
- Why this job: Make a real difference in health research while working with cutting-edge data.
- Qualifications: Strong background in epidemiology or health data science; R/Python skills required.
- Other info: Full-time role with opportunities for professional growth and collaboration.
The predicted salary is between 41064 - 46049 £ per year.
A prestigious university in Glasgow seeks an Applied Data Scientist to provide analytical support for health-related research. The role involves working closely with NHS and industry partners to utilize healthcare data in Trusted Research Environments.
Candidates should possess a strong background in epidemiology or health data science, proficient in R and/or Python, and excellent communication skills.
This full-time role offers a salary between £41,064 and £46,049 per annum with diverse employee benefits.
Applied Health Data Scientist for TRE & AI Research in Glasgow employer: University of Glasgow
Contact Detail:
University of Glasgow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Health Data Scientist for TRE & AI Research in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the health data science field, especially those connected to the university or NHS. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in R or Python, especially those related to health data. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with both technical and non-technical partners in this role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and keep track of your progress. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Applied Health Data Scientist for TRE & AI Research in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in health data science and any relevant projects you've worked on. We want to see how your skills in R and Python can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for epidemiology and how you can contribute to our research efforts with NHS and industry partners.
Showcase Your Communication Skills: Since excellent communication is key, consider including examples of how you've effectively communicated complex data insights in the past. We love seeing candidates who can bridge the gap between data and real-world impact!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at University of Glasgow
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of health data you'll be working with. Brush up on your knowledge of epidemiology and how it applies to real-world scenarios. Being able to discuss specific datasets or case studies can really impress the interviewers.
✨Show Off Your Coding Skills
Since proficiency in R and/or Python is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data analysis tasks beforehand. Having a few examples of your past projects ready to discuss will also help showcase your expertise.
✨Communicate Clearly and Confidently
Excellent communication skills are a must for this role. Practice explaining complex data concepts in simple terms, as you’ll need to collaborate with NHS and industry partners. Consider doing mock interviews with friends to refine your ability to convey your thoughts clearly.
✨Research the University and Its Partners
Familiarise yourself with the university’s research focus and its partnerships with the NHS and industry. Understanding their current projects and challenges will allow you to tailor your responses and show genuine interest in how you can contribute to their goals.
