Analytics Engineer (Research)

London 40 GP AOB 37 5 hours, United Kingdom

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Cleveland Clinic London

Cleveland Clinic London joins a unified healthcare delivery system with hospitals, clinics and wellness centres worldwide. Learn about our approach to care.

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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.

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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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs Azure Data analysis Databricks Data management Data warehouse ETL Machine Learning ML models Python R Research Robotics RPA SQL SSIS Statistics T-SQL Unstructured data

Perks/benefits: Career development Competitive pay Flat hierarchy Health care Medical leave Transparency

Region: Europe
Country: United Kingdom

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