Job summary
Working within the Clinical Audit and Research Unit, the Clinical Data Scientist will be responsible for undertaking robust data analytics and modelling. Using mathematical, statistical and research techniques, the Clinical Data Scientist will interrogate complex data sets and effectively model and analyse a range of statistical information to provide evidence about the delivery and effectiveness of the clinical care provided by theLondon Ambulance Service. They will provide the information and recommendations to improve clinical care, assist with clinical and strategic decision-making, and inform prehospital clinical practices and guidelines. They will also facilitate the collection, sharing, utilisation and visualisation of clinical data to support the delivery of clinical trials and other projects as needed.
Main duties of the job
- To provide comprehensive statistical information, and robust analytics , about the quality and delivery of patient care, including the effectiveness of treatment options and pathways.
- To interrogate complex data sets in order to identify trends, good practice and areas of concern.
- Use mathematical, statistical and research techniques to effectively model and analyse a variety of statistical information, and make recommendations to improve clinical care.
- To translate analytical findings to inform clinical and strategic decision making, and prehospital clinical practices.
- Facilitate the collection, sharing, utilisation and visualisation of clinical data.
- Communicate findings both internally, as well as externally, contributing to publications in peer-reviewed academic journals and conference presentations.
- Support research and clinical audit project design and data acquisition.
About us
London Ambulance Service serves one of the worlds most dynamic and diverse cities and is the busiest ambulance service in the UK. We handle over 1.9 million emergency calls from across the capital every year as well as delivering a 24 hour NHS 111 Integrated Urgent Care Service in South East and North East London that we estimate will respond to around 1.4million urgent care calls by the end of the year.
We employ over 9,000 people who work or volunteer, across London to respond to the health needs of over 8 million people who live, work and travel in the capital.
We work closely with our NHS partners and are commissioned by 32 clinical commissioning groups spread across 5 STPs and NHS England for our specialist services.
Job description
Job responsibilities
As the only pan-London NHS provider we have a unique opportunity to play a leading role in integrating access to emergency and urgent care right across London.
Please see attached job description and person specification.
Job description
Job responsibilities
As the only pan-London NHS provider we have a unique opportunity to play a leading role in integrating access to emergency and urgent care right across London.
Please see attached job description and person specification.
Person Specification
Qualifications
Essential
- Master's degree in computer science, data science or a similar discipline
Experience
Essential
- Experience and expertise in conducting thorough data analysis, mining and modelling in a work environment.
- Extensive experience of producing, analysing and interpreting data information in a work environment, including manipulating data sets, statistical inference, utilising machine learning techniques' determining relationships and making recommendations.
- Extensive experience of working with complex, conflicting and contentious information.
- Experience of using databases in SQL Server in a work environment (including creating complex queries using structured query language to extract data and create reports)
Knowledge
Essential
- Knowledge of machine learning techniques, simulation, optimisation and advanced multivariate statistics
- Proficiency in one or more computer programming language (preference for R, or Python)
- Able to develop apps and forms to facilitate data collection
- Ability to extract information from databases/datasets to help understand a process or solve a problem and make informed recommendations based on detailed data insight
- Ability to scope, develop and tailor decision support tools to meet users specification and requirements
- Excellent numerical and statistical skills
- Confidence in adapting to new software and programming languages
- Able to communicate clearly and professionally with a wide range of people internally and externally, including ambulance service and hospital staff, clinicians and academics
- Able to write in a range of styles from academic papers for publication in scientific journals to popular reports and magazine articles
- Ability to concentrate when carrying out detailed analysis over sustained periods
- Excellent interpersonal skills, including ability to negotiate and persuade
- Ability to manage / organise own workload, work autonomously and plan work according to changing priorities and deadlines
- High level of personal motivation with the ability to work independently using own initiative, or as part of a team
- Ability to make own decisions on how issues should be resolved and how results are best achieved, implementing decisions as appropriate
Person Specification
Qualifications
Essential
- Master's degree in computer science, data science or a similar discipline
Experience
Essential
- Experience and expertise in conducting thorough data analysis, mining and modelling in a work environment.
- Extensive experience of producing, analysing and interpreting data information in a work environment, including manipulating data sets, statistical inference, utilising machine learning techniques' determining relationships and making recommendations.
- Extensive experience of working with complex, conflicting and contentious information.
- Experience of using databases in SQL Server in a work environment (including creating complex queries using structured query language to extract data and create reports)
Knowledge
Essential
- Knowledge of machine learning techniques, simulation, optimisation and advanced multivariate statistics
- Proficiency in one or more computer programming language (preference for R, or Python)
- Able to develop apps and forms to facilitate data collection
- Ability to extract information from databases/datasets to help understand a process or solve a problem and make informed recommendations based on detailed data insight
- Ability to scope, develop and tailor decision support tools to meet users specification and requirements
- Excellent numerical and statistical skills
- Confidence in adapting to new software and programming languages
- Able to communicate clearly and professionally with a wide range of people internally and externally, including ambulance service and hospital staff, clinicians and academics
- Able to write in a range of styles from academic papers for publication in scientific journals to popular reports and magazine articles
- Ability to concentrate when carrying out detailed analysis over sustained periods
- Excellent interpersonal skills, including ability to negotiate and persuade
- Ability to manage / organise own workload, work autonomously and plan work according to changing priorities and deadlines
- High level of personal motivation with the ability to work independently using own initiative, or as part of a team
- Ability to make own decisions on how issues should be resolved and how results are best achieved, implementing decisions as appropriate
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
