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- Tasks: Support clinical teams and enhance patient care through data coordination.
- Company: Prominent university in Rochester with a focus on family medicine.
- Benefits: Competitive hourly salary, full-time hours, and a supportive work environment.
- Why this job: Make a difference in patient care while developing your data skills.
- Qualifications: Strong MS Office skills and excellent communication abilities.
- Other info: Join a dynamic team dedicated to chronic disease care and preventive services.
The predicted salary is between 30000 - 45000 £ per year.
A prominent university in Rochester is seeking a dedicated data coordinator for their outpatient family medicine practice. This full-time role involves supporting clinical teams and ensuring patients receive top-notch chronic disease care and preventive services.
Candidates should have strong skills in MS Office and excellent communication abilities.
The position offers a competitive hourly salary ranging from $19.50 to $25.50 and involves working 40 hours a week.
Clinical Data & Quality Improvement Analyst in Rochester employer: University of Rochester
Contact Detail:
University of Rochester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data & Quality Improvement Analyst in Rochester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the university. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by practising common questions related to clinical data and quality improvement. We should also think of examples from our past experiences that showcase our skills in MS Office and communication.
✨Tip Number 3
Dress to impress! Even if the role is remote, looking sharp on video calls shows we mean business. It’s all about making a great first impression!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily.
We think you need these skills to ace Clinical Data & Quality Improvement Analyst in Rochester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data coordination and any relevant skills in MS Office. We want to see how your background aligns with the role of a Clinical Data & Quality Improvement Analyst.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about improving patient care and how your skills can contribute to our outpatient family medicine practice.
Show Off Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects your ability to convey information clearly. Whether it's in your CV or cover letter, let us see your best writing!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at University of Rochester
✨Know Your Data
Make sure you brush up on your data analysis skills, especially with MS Office. Be ready to discuss how you've used data to improve patient care or streamline processes in previous roles. This will show that you understand the importance of data in a clinical setting.
✨Communicate Clearly
Since excellent communication is key for this role, practice articulating your thoughts clearly and concisely. Think about examples where you've effectively communicated complex information to non-technical team members. This will demonstrate your ability to work well with clinical teams.
✨Understand Chronic Disease Care
Familiarise yourself with chronic disease management and preventive services. Be prepared to discuss how data can support these areas. Showing that you have a grasp of the challenges faced in outpatient family medicine will set you apart from other candidates.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the team you'll be working with. This not only shows your interest but also helps you gauge if the position aligns with your career goals. Questions about their current data practices or quality improvement initiatives can spark a great conversation.
