Job Details

Data Analyst

Reference Number
Queen Elizabeth Uni Hospital Campus
College / Service
Job Family
Technical And Specialist
Position Type
Full Time
Salary Range

Job Purpose

The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) requires a data analyst / software engineer to provide research data services and construct clinical information systems that underpin critical aspects of the programme within the NHS Greater Glasgow and Clyde Safe Haven.
iCAIRD is a first-of-a-kind, pan Scotland innovation initiative, focused on the application of AI to solve the UKs most pressing healthcare issues in radiology and pathology.
The post will be based primarily within the NHS Greater Glasgow and Clyde Safe Haven in Paisley, but working regular at other sites in Central Scotland as required. The post-holder will work with collaborators (industry, NHS and academia) to deliver artificial intelligence and data platforms alongside several exemplar research projects over the next 2 years. The specific requirements of the role will vary over the lifetime of the programme, as this is a novel and highly dynamic research initiative. However, work is likely to focus on four areas:
• Identification, selection, analysis, manipulation and provision of clinical and business data to researchers;
• Full lifecycle delivery of software (and the associated data management) to support the implementation of cohort building, data quality and integration facilities;
• Facilitating data integration and interoperability across various source NHS systems; and
• Contributing towards the analysis and improvement of data management and software development processes.
Previous practical experience of data analysis, data science and IT solution delivery is essential. Ideally, the applicant should have knowledge and experience of working with NHS data, standards and systems, as they are pivotal to the programme. Exposure to development within a regulated clinical environment would be advantageous, as would familiarity with artificial intelligence.

Main Duties and Responsibilities

Data analysis
• In response to research data requests and in collaboration with researchers and Safe Haven staff, identify and document research data requirements.
• Advise and guide researchers on the availability, suitability, extraction, quality and use of data.
• Query, extract, cleanse, transform, manipulate, combine, present and load data based upon pre-determined requirements or as necessary.
• Analyse complex clinical and business data to determine patterns, trends and anomalies using common statistical and data science techniques.
• Develop and/or apply data quality control and assurance measures, including statistical sampling and disclosure assessments.
• Interpret and report upon the results of data analysis or quality assessment.
• Interact with, create and manage data warehouses, databases, files and systems in a range of forms and formats as necessary.
• Provide an effective, timely and accurate research data service.
• Liaise and collaborate with NHS, clinical, academic, research, industrial, information systems and programme staff or other third parties.
• Develop an in-depth understanding of NHS clinical and business data and systems.
• Identify opportunities for organisational, process or technical improvement in the Safe Haven service. Where practicable, implement those improvements in collaboration with existing staff.

Software development
• End-to-end delivery of software to query, extract, cleanse, transform, manipulate, combine, analyse, present and load data.
• Select or produce tools and components, to help others manipulate and manage data, or to automate tasks and processes.
• Integrate Safe Haven data stores and systems, with other clinical/business systems and data stores.
• Analyse, inspect, assure and make recommendations upon systems and software that may be used by the Safe Haven.
• Provide robust and creative solutions using agile delivery techniques.
• Contribute to the definition and improvement of software processes and methodologies.
• Produce thorough, high-quality documentation, manuals and reporting throughout the delivery process.
• Supervise, train and guide end-users.

• Contribute to the review and improvement of Standard Operating Procedures.
• Provide data and software subject matter expertise to the programme planning and delivery process.
• Consult and collaborate with colleagues to ensure work is completed efficiently, inclusively and in support of programme objectives.

Knowledge, Qualifications, Skills and Experience

A1 Qualified in IT or data science to degree level or holding a postgraduate qualification in IT or data science, or equivalent.
A2 Knowledge of complex longitudinal and multidimensional data analysis approaches.
A3 Understanding of analytical problem solving and data science techniques.
A4 Knowledge of full lifecycle software development approaches and techniques.

B1 Knowledge of health informatics, clinical research data and NHS datasets.
B2 Understanding of artificial intelligence techniques and the use of data in AI or machine learning.
B3 Knowledge of healthcare interoperability standards, coding systems and data models.
B4 Knowledge of Safe Haven operating principles.

C1 Analysis, presentation and reporting of large, complex datasets using SQL or similar.
C2 Able to recognise patterns, trends and anomalies in large, multidimensional datasets.
C3 Competent in a range of statistical analysis and data science techniques.
C4 Competent with the Microsoft Office suite.
C5 Extraction, manipulation, combination, transformation and cleansing of large datasets from a range of data sources.
C6 Competent in a range of software development and testing techniques in at least one high-level programming language.
C7 Excellent attention to detail and accuracy.
C8 Able to understand, simplify and document complex technical concepts so that they are understood by a non-technical audience.
C9 Works independently and under supervision depending on the complexity of the task or project, assessing priorities and managing own workload effectively.
C10 Collaborative, inclusive and able to communicate effectively with a variety of internal and external stakeholders of both a technical and non-technical nature.
C11 Operates with and holds others to the highest levels of integrity, honesty, diligence and reliability.
C12 Pragmatic and flexible, with the skill to adapt quickly to change and work calmly under pressure.
C13 Able to negotiate and persuade.

D1 Developing clinical systems that use protocols such as HL7 or FHIR, working with international clinical coding standards and research database schemas such as I2B2.
D2 Process analysis and design.
D3 Python/R/SAS or similar analytical software.
D4 Systems integration.

E1 Significant experience of data analysis and/or data science.
E2 Suitable experience of full-lifecycle software development.

F1 Experience in a technical delivery role within healthcare or research.
F2 Experience in a Safe Haven environment.
F3 Development of systems or analysis of data in a regulated environment.

Job Features

The post will join the iCAIRD team. It will be line-managed by the University of Glasgow iCAIRD project manager and functionally managed by the NHS GG&C Safe Haven Manager under instruction of the NHS iCAIRD Programme Manager. The post is based primarily at the NHS GG&C Safe Haven in Paisley, but is wholly allocated to iCAIRD work.
Data Analysis: Working to deadlines simultaneously on a number of projects involving the use of clinical data, undertaking data analysis tasks and developing innovative software solutions for clinical data. Working independently on small projects and under supervision on larger, more complex projects. Meeting with and presenting solutions to internal staff and external researchers/NHS Staff.
Development: To gain experience and undergo training to develop skills in data analysis methods in the support of a wide variety of projects.
Administration: Adherence to and contribution to the review of internal standard operating procedures, incorporating external ethical, legal and regulatory constraints, and to compliance with auditing requirements of these processes.
Planning and Organising
Organise work plan for smaller projects independently and contribute to planning of larger projects.
Plan and organise own workload effectively and efficiently, completing tasks within tight time constraints.
Decision Making
Participate in the identification of significant and critical issues affecting the progress of projects and communicating such issues to project personnel in a timely fashion.
Apply specialist knowledge in the area of data analysis and take independent decisions, where appropriate, and recommending changes/updates to current practices, as required.
Proactive in recommending new IT solutions and enhanced functionality to improve the efficiency of delivering clinical data to AI projects.
Internal/External Relationships 
Liaise on a regular basis with colleagues and senior management.
Liaise with external clients and researchers, as appropriate, in the provision of a quality data analysis service and in the development of client user applications.
Problem Solving
Recognise and resolve issues within the area of data analysis, flagging critical issues to senior project personnel appropriately and in a timely fashion and apply expert knowledge by offering solutions and advice at a technical level.

Standard Terms & Conditions

Salary will be on the Technical & Specialist Grade, level 7, £35,845 - £40,322 per annum.

This is a full-time position, with funding to January 2022.

New entrants to the University will be required to serve a probationary period of 6 months.

The successful applicant will be eligible to join the Universities’ Superannuation Scheme. Further information regarding the scheme is available from the Superannuation Officer, who is also prepared to advise on questions relating to the transfer of Superannuation benefits.

Vacancy reference: 030661, closing date: 19 December 2019.
It is the University of Glasgow’s mission to foster an inclusive climate, which ensures equality in our working, learning, research and teaching environment.

We strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting gender equity.

The University of Glasgow, charity number SC004401.