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- Tasks: Join our Data and Analytics team to enhance healthcare through data-driven insights.
- Company: Cleveland Clinic London is a leading provider of specialised medical care, committed to innovation and excellence.
- Benefits: Enjoy 25 days leave, private medical insurance, and a double-matched pension scheme.
- Why this job: Make a real impact in healthcare while collaborating with expert clinicians in a supportive environment.
- Qualifications: Experience in Python/R, T-SQL, and large datasets; healthcare background is a plus.
- Other info: Flexible working hours and opportunities for professional development await you!
The predicted salary is between 36000 - 60000 £ per year.
Our vision is to be the best place for healthcare anywhere and the best place to work in healthcare.
We believe that every life deserves world class healthcare.
Job Summary
Salary: Competitive
Hours: 9am – 5pm, Monday to Friday – 37.5 hours per week
Location: 40 Grosvenor Place, London, SW1X 7AW.
Contract: Full time, permanent
What are we looking for?
Cleveland Clinic London are looking to recruit an Analytics Engineer to join our Data and Analytics team, with a competitive salary range on offer.
What makes us different?
Cleveland Clinic London offers a brand-new high-acuity environment with the very latest equipment, where caregivers are encouraged to grow their expertise across multiple specialties, and in collaboration with expert clinicians. Our Mission, \’Caring for life, researching for health, and educating those who serve\’, assures our unwavering commitment to professional development.
The Data and Analytics (D&A) team in Cleveland Clinic London is a centre of excellence (hub) providing the following capabilities to our caregivers: foster an analytics culture, data management, enterprise reporting & analytics, enterprise data warehouse and enterprise tooling adoption& deployment.
This role will be sitting within D&A but will be dedicated to the London Research Team with collaboration from our partners in Cleveland Clinic Research/Lerner Research Institute.
What will your duties include?
- Set up and maintain a separate research data infrastructure for London. Hosting of machine learning models, and creating and deploying of user-interfaces to allow rapid translation of data and research insights back into the London Healthcare sector. Develop, maintain and optimise analytical processes to improve data accuracy, accessibility and reliability.
- Collaborate with cross-functional teams to identify, gather and analyse large datasets from various sources (flat files, APIs, databases)-this includes Lerner Research Institute, External Vendors and the research operational teams.
- Maintain documentation of data analysis processes. Methodology and results to ensure replicability and transparency with the wider D&A Team.
- Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, caregiver experience, and operational efficiency.
- Apply Statistical analysis methods to interpret data trends, patterns, correlations and communicate insights and recommendations to operational teams.
What we need from you?
- Proven Experience with programming languages such as Python/R and advanced T-SQL programming
- Experience in large-scale datasets, analysing unstructured data/semi structured data to solve business problems, and presenting impactful insights
- Experience with RPA/ Automation tools
- Familiarity with Data Lake frameworks such as Azure DataBricks
- Experience using EPIC (EMR)
- Understanding of building and maintaining ETL packages using MS SSIS
- Healthcare experience (NHS/Private) or working with healthcare datasets/applications (Desirable)
What can we offer you?
As a private hospital with no shareholders, we reinvest profits back into our organisation. This means we can offer tailored support and development for caregivers, alongside benefits such as:
- 25 days annual leave plus Bank Holidays
- Double-matched salary exchange pension – contribute 5% and we\’ll contribute 10%
- Private Medical & Dental Insurance
- Life Assurance
- Season Ticket Loan & Cycle to Work schemes
- Workplace Nursery Scheme
- Wellbeing Hub with mental health, coaching and EAP support
- Earned Wage Access – get early access to part of your pay when needed
- Access to discounts on food, retail, and more
Who we are?
Cleveland Clinic is one of the leading providers of specialised medical care in the world, providing clinical excellence and superior patient outcomes for almost 6 million patient visits per year across more than 200 locations. We employ over 80,000 caregivers worldwide and continue to drive innovation in healthcare.
With over 100 years of history, our \”Patients First\” philosophy is at the heart of everything that we do.
If you would like to know more, please email recruitment@ccf.org.
Applicant shortlisting and interviews may take place whilst the advert is live, so it may close sooner than expected – please submit your application as soon as possible. Due to the volume of applications, we are not always able to provide individual feedback.
Disclosure and Barring Service (DBS) Check
This role may be subject to the Rehabilitation of Offenders Act 1974 (Exceptions) Order (as amended) and it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (DBS) to check for any previous criminal convictions.
\”Let\’s deliver World Class care together!\”
As an equal opportunities employer, we aspire to work together to promote a more inclusive work environment, which represents our commitment to celebrate diversity.
CCL is committed to applying its Equal Employment Opportunity/Workforce Diversity and Inclusion Policy at all stages of recruitment and privileging. Shortlisting, interviewing and selection will always be carried out without regard to any Protected Characteristics. When aware of the need to do so and when required, CCL will make reasonable adjustments to its arrangements for interviews and to conditions of employment/engagement for disabled applicants to ensure, so far as practicable, that they do not place such applicants at a substantial disadvantage in comparison to non-disabled applicants. #J-18808-Ljbffr
Analytics Engineer (Research) employer: Cleveland Clinic
Contact Detail:
Cleveland Clinic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer (Research)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, R, and T-SQL. Being able to discuss your experience with these programming languages in detail during interviews will demonstrate your technical proficiency.
✨Tip Number 2
Network with professionals in the healthcare analytics field, especially those who have experience with Cleveland Clinic or similar organisations. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with large-scale datasets and how you've used machine learning techniques in past projects. Be ready to share specific examples that highlight your problem-solving skills and ability to derive actionable insights from data.
✨Tip Number 4
Research Cleveland Clinic's mission and values thoroughly. Understanding their commitment to patient care and professional development will help you align your responses during interviews, showcasing that you're a good cultural fit for the organisation.
We think you need these skills to ace Analytics Engineer (Research)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Analytics Engineer role. Focus on your programming expertise in Python/R, T-SQL, and any experience with healthcare datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for healthcare analytics and your understanding of the role's responsibilities. Mention specific projects or experiences that demonstrate your ability to handle large datasets and collaborate with cross-functional teams.
Highlight Relevant Experience: In your application, emphasise any previous work with data management, machine learning, or automation tools. If you have experience in the healthcare sector, make sure to include that as it is desirable for this position.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for an Analytics Engineer.
How to prepare for a job interview at Cleveland Clinic
✨Showcase Your Technical Skills
Make sure to highlight your experience with programming languages like Python and R, as well as your proficiency in T-SQL. Be prepared to discuss specific projects where you've used these skills to analyse large datasets or develop predictive models.
✨Understand the Healthcare Context
Familiarise yourself with the healthcare sector, especially if you have experience with NHS or private healthcare datasets. Being able to discuss how your analytical skills can improve caregiver experiences or operational efficiency in a healthcare setting will set you apart.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, think of examples that demonstrate your ability to collaborate effectively. Be ready to discuss how you've gathered and analysed data from various sources in previous roles.
✨Emphasise Documentation and Transparency
Cleveland Clinic values replicability and transparency in data analysis. Be prepared to talk about how you maintain documentation of your processes and results, ensuring that your work can be easily understood and replicated by others.
