At a Glance
- Tasks: Lead a team to ensure top-notch data quality and improve patient care.
- Company: Join a friendly and diverse training practice near Cossington.
- Benefits: Competitive salary up to £39k and supportive work environment.
- Other info: Collaborative team with opportunities for professional growth.
- Why this job: Make a real difference in patient care through data excellence.
- Qualifications: Management experience in a GP practice or NHS setting required.
The predicted salary is between 39000 - 39000 £ per year.
A large Training Practice near the Cossington area is seeking to welcome a Data Lead to its friendly and diverse team.
Salary: up to £39k
The Surgery looks after approximately 13,000 patients. You would be joining a welcoming Training Practice with 5 GP partners, 2 salaried GPs, and experienced nursing, management and admin teams.
Responsibilities:
- Lead and support a clinical admin/data quality team
- Oversee data quality and clinical coding, ensuring accurate, reliable patient records
- Help drive improvements in workflows, QOF, recalls and reporting
- Support and optimise the use of SystmOne and other practice systems
- Contribute to safe, effective patient care through robust data and systems processes
Qualifications:
- Applicants must have proven management experience in a GP practice or relevant NHS setting.
- Experience in clinical coding data quality management and workflow processes and improving outcomes.
Data Lead in Syston employer: Chase Medical
Chase Medical is an exceptional employer, offering a supportive and collaborative work environment for Advanced Nurse Practitioners in the vibrant community of Southend-on-Sea. With a focus on professional development, employees benefit from ongoing training opportunities and a strong emphasis on teamwork, ensuring that every member of the Advanced Clinical Team can thrive and provide outstanding patient care. The company values work-life balance and fosters a culture of respect and inclusivity, making it a rewarding place to build a meaningful career in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead in Syston
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Chase Medical!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Lead at Chase Medical.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Chase Medical.
✨Apply Directly through Our Website
When you find a suitable opening like Data Lead at Chase Medical, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Lead in Syston
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Chase Medical, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Chase Medical. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Chase Medical
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Chase Medical!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
