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Data Scientist

Chelsea and Westminster Hospital NHS Foundation Trust
London
7 months ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - £80,000 - Hybrid - London

Job summary

The role focuses on the application of the advanced statistics methods and complex quantitative analysis required to help stakeholders characterise the issues they face, the options they have, or to evaluate the impact of changes made. This requires the potholder to understand why analysis is being undertaken, how the outputs are intended to be used, as well as helping to define how we should undertake the particular method of analysis.

This role requires a clear thinking and methodical approach with strong quantitative and analytical skills. The post will involve working with multiple data sources including the Discover dataset.

The role of Data Scientist is to support parts of this type of complex change by bringing a breadth of statistical and analytical skills. The role also interfaces with others who play key roles in helping to design projects and products for stakeholders and clients.

The role includes active participation in the development and culture of ICHP as an organisation, sharing responsibility for making ICHP a great place to work. Applicants will be able to demonstrate behaviours that live our organisational values of collaboration, courage, quality, and impact.

Main duties of the job

You will have client-facing responsibilities and provide support on data science projects. Your responsibilities will include:

Population health analytics to help understand the needs of patients within NWL and nationally and how current services can be re- shaped to meet these needs.

Create statistical models using patient level data from the real-world linked datasets Discover dataset.

Delivering on a range of data science projects to both public and private sector clients. Project usually require conducting and interpreting highly complex statistical analysis.

With support from the Quantitative Lead you will be able to understand what information is available to address a specific problem, as well as being able to evaluate the strengths and weaknesses of each approach.

Presenting complex data to large groups of people

Operate in an environment of significant complexity and ambiguity, taking time to understand the context of the operating environment and demonstrating good judgement (including seeking counsel from other when needed)

Designing and developing complex econometric models that are transparent and user-friendly

About us

Imperial College Health Partners is a partnership organisation bringing together NHS providers of healthcare services, clinical commissioning groups and leading universities across North West London. We have been designated by NHS England as the Health Innovation (HIN) for North West London, and we are one of 15 HINs across England which make up The Health Innovation Network.

We were created by the NHS to support complex change across the health and care sector - innovating and collaborating for a healthier population.

Job description

Job responsibilities

You will have client-facing responsibilities and provide support on data science projects. Your responsibilities will include:

Population health analytics to help understand the needs of patients within NWL and nationally and how current services can be re- shaped to meet these needs

Create statistical models using patient level data from the real-world linked datasets Discover dataset

Delivering on a range of data science projects to both public and private sector clients. Project usually require conducting and interpreting highly complex statistical analysis.

With support from the Quantitative Lead you will be able to understand what information is available to address a specific problem, as well as being able to evaluate the strengths and weaknesses of each approach

Presenting complex data to large groups of people

Operate in an environment of significant complexity and ambiguity, taking time to understand the context of the operating environment and demonstrating good judgement (including seeking counsel from other when needed)

Designing and developing complex econometric models that are transparent and user-friendly

Developing strong and robust relationships with local and external stakeholders, clients and industry partners

Exchanging specialist information with colleagues from similar and other disciplines including providing specialist advice

Representing ICHP at meetings, conferences, and events as appropriate

Actively contributing to ICHPs public profile and presence through presentations, media and social media

Project management responsibility involving regular meetings with clients, ensuring work is delivered on time and to standard. Supporting the development of improved performance and service delivery

Using strong persuasion skills to influence senior managers and board members of importance of initiatives which contain very sensitive information

Show a commitment to continued learning, self-reflection, appraisal, and development, including undertaking a Personal Development Plan annually

Developing posters, abstracts and manuscripts for peer-reviewed journals

Exhibit a curiosity about the work going on across the organisation, and share with others, internally and externally, impactful work that ICHP supports to enable innovation and resolve complex problems

Actively seek to participate in available project opportunities, with an approximate expectation of being involved in project work and working on several projects at any one time (with a mix of longer-term and shorter-term projects). This is not a formal performance metric, but a rule-of thumb to guide decisions about workload and resourcing.

You will be able to confidently employ a variety of styles of written and verbal communication (including email, written reports, meetings, presentations); and you can exercise good judgement to ensure that the content of communications are relevant, proportionate, and communicated in a style that is appropriate for the situation.

The description of the role is generic, without reference to specific projects or programmes, which will change over time. Postholders will be assigned to specific projects and programmes during the year, in line with the objectives and development plan agree each year. Postholders will be expected to work in project-based matrix teams, working with colleagues drawn from across the organisation.

Person Specification

Qualifications

Essential

Undergraduate qualification (1st or 2:1) or equivalent experience in a quantitative discipline, ideally with significant exposure to advanced statistical concepts Masters qualification in a quantitative discipline with significant exposure to advanced statistics and data science concepts

Knowledge and experience

Essential

Proven experience with Python, R and /or another data science programming language (SAS, Stata etc). Experience in applying statistical / econometric methods to address real world problems Experience using large survey or administrative datasets Knowledge health research methods and systems thinking

Desirable

Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilisation, etc. Experience in writing complex SQL queries Previous experience of using Discover/WSIC database Experience in building and deploying machine learning models Overview knowledge and understanding of the NHS, including the funding and organizational realities Experience in delivering complex healthcare-related analysis within projects and programmes, and working alongside senior clinical and operational professionals

Skills and capabilities

Essential

Ability to apply statistical methods (such as distributions, statistical testing, regressions, survival methods, difference in differences, propensity score matching, interrupted time series etc) on healthcare data for medical research Ability to support work, making decisions or requesting management support as appropriate Ability to prioritise workload effectively, and the workloads of others, within a fast-paced and pressured environment, and work to strict deadlines using a systematic approach Ability to provide and receive highly complex information and to communicate it to others in ways that they understand Advanced level of working with Microsoft Office to produce reports, letters, presentations, spreadsheets and email correspondence Excellent written and communication skills with the confidence to present and communicate effectively with different audiences Ability to work as part of a team and establish and maintain good working relationships Ability to assess planned projects to ensure they will exceed expectations; and to develop and communicate high quality, accurately costed proposals reflecting the client brief

Values, behaviours & personal attributes

Essential

Demonstrable commitment to the organisation values, which are: collaboration, courage, quality, and impact. Commitment to focus on quality, to promotes high standard, and to consistently improve patient outcomes. Demonstrate and promote high standards of quality customer care to both internal and external customers Problem solving and can-do attitude Commitment to continual improvement Flexibility to look beyond existing structures, ways of working to produce more effective and innovative means of working. Exercise tenacity in completing tasks set and asking for help when struggling with an aspect of your role Methodical in approach, with a good attention to detail. Works across boundaries, looks for collective success, listens, involves, respects and learns from the contribution of others Self-awareness in terms of emotional intelligence, biases and personal triggers with cultural sensitivity and awareness. Able to use and act on feedback from others on your performance and behaviour. Professional in matters of confidentiality, security, integrity, honesty, performance, attendance, and appearance Health clearance by Occupational Health for the specified role
National AI Awards 2025

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