Senior Clinical Data Scientist

Job description

Job responsibilities

Take individual delivery ownership of data science problems and pilots across the full lifecycle problem definition, diagnosis and exploration, solution design, experimentation, implementation support, and outcome measurement working autonomously and being accountable for movement in target clinical and operational KPIs.

Develop analytic tools, models, and insights that support business planning, decision-making, and service improvement across clinical and operational pathways, applying machine learning, statistical, causal inference, and experimental methods as appropriate to the problem.

Evaluate and analyse highly complex and sometimes contentious healthcare data using tested and credible tools, applying robust problem-solving to find and understand root causes of problems and to identify opportunities for improvement.

Implement rapid Test-and-Learn cycles, starting small and scaling what works, and confirming benefit before scaling, iterating, or stopping.

Determine and track key performance indicators to enable easy tracking of deliverables and outcomes, working collaboratively with clinical leads and operational teams.

Track and evaluate changes, measuring impact and progress against agreed and robust improvement metrics, and embedding consideration of fairness and healthcare inequalities into impact evaluation.

Produce written documentation for a wide range of audiences, including project reports, communications, and explanations of technical and complex issues; make recommendations and present findings at all levels, including to senior clinical and management audiences.

Meet predefined objectives through autonomous working and the demonstration of a leadership style that is consistent with the Trust values.

Stakeholder Management

• Develop and present complex healthcare data in a way that facilitates understanding and drives action among clinical, operational, and technical audiences
• Identify, engage, and work with all relevant stakeholders to build a platform for service change and to inform improvement and transformation strategies
• Mediate and advise in areas where there are differences of clinical and professional opinion, providing and explaining data that may support decision-making
• Conduct end-user research with clinical and operational teams to understand needs, set performance targets, and ensure solutions are responsive to real-world requirements
• Design, facilitate, and lead workshops, stakeholder events, and project meetings with a wide range of clinical, technical, and operational stakeholders
• Manage, motivate, persuade, and influence multiple stakeholders and partners to ensure a shared purpose and that responsibilities are clear, agreed, and followed up in a timely manner.

Technical Aspects

• Provide hands-on expertise in data science and machine learning including statistical and predictive modelling, LLMs, causal inference, and custom workflows selecting best-in-class, fit-for-purpose methods for each problem
• Be responsible for devising and implementing methods for highly complex information collection, analysis, and presentation that meet the specification of the end user/client, including where data is difficult to obtain and interpret
• Be responsible for making informed, evidence-based recommendations to clients and stakeholders, based on credible evidence including the analysis of highly complex data
• Work with the data and software engineering team to productionise pilots into the GSTT Snowflake platform, and to monitor the impact and safety of deployed decision-support tools
• Use data-driven presentations to challenge existing work practices and beliefs for varying audiences, including clinical leads and staff, directors, and service users
• Devise and provide specialist training in data science, analytical, and improvement methods for a range of audiences, and transfer skills via mentoring, peer-coaching, and team development sessions

Person Specification

Background

• Clinical qualification (e.g. medicine, nursing, pharmacy) or clinical background, with an understanding of clinical and operational care pathways
• Strong healthcare / clinical domain knowledge, with the ability to frame real-world clinical and operational problems for data science
• Degree in a data science, statistics, computer science, machine learning, health informatics, or related quantitative field (or equivalent experience)

• PhD in a data-science related field

Technical

• Hands-on expertise in Python and SQL, and in modern machine learning and statistical methods, including causal inference techniques and experimental methods (e.g. A/B testing, stepped-wedge designs)
• Experience of delivering across the data science lifecycle, from problem definition and experimentation through to implementation support and outcome measurement

• Experience delivering data science solutions in an industry setting
• Experience building and deploying solutions on cloud data platforms (e.g. Snowflake, Databricks)
• Experience working with LLMs and/or modern generative AI in applied settings

General

• Excellent stakeholder engagement and communication skills, with the ability to translate between technical, clinical, and operational audiences
• Excellent project and delivery management skills

• Familiarity with agile and product methodologies for managing technical workstreams
• Track record of high-impact research output and/or peer-reviewed publication

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.

Certificate of Sponsorship

Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website.

From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants.

Employer details

Employer name

Guy's and St Thomas' NHS Foundation Trust

Address

London Institute for Healthcare Engineering

London

SE1 7AR

United Kingdom

Employer's website

https://www.guysandstthomas.nhs.uk/careers/careers.aspx