Clinical Database Manager

KINGS COLLEGE LONDON, United Kingdom

Updated: 5 days ago
Location: London, ENGLAND
Job Type: FullTime
Deadline: 28 Apr 2025

About Us

The TOUR (Transforming cancer OUtcomes through Research) team aims to use science to improve healthcare outcomes by translating oncology research into clinical practice. TOUR is led by Professor Mieke Van Hemelrijck, and comprises a team of quantitative and qualitative researchers, clinicians, students, research nurses, trial coordinators, and database managers who are active across the field of translational oncology research. 

Moreover, Prof Van Hemelrijck leads Guy’s Cancer Real World Evidence (RWE) Programme together with Dr Anne Rigg from Guy’s and St Thomas’ NHS Foundation Trust. The programme aims to amplify Guy’s Cancer RWE data science capability and facilitate addressing answering challenging cancer research questions. The overall aim of Guy’s Cancer RWE Programme is to drive world class patient centred research.

This specific post will provide the link between Guy’s Cancer RWE Programme and Pharos AI, whilst being the liaison between GSTT Clinical Analytics and research. Hence, the successful candidate will be a member of the TOUR team, with an honorary GSTT contract as to facilitate data curation and extraction for the wider initiatives of Pharos AI.

PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI assets, technologies, and capabilities. PharosAI unites large-scale multimodal cancer datasets with AI models through a highly-secure, trusted, federated platform, offering state-of-the-art AI tooling for use by pharma/biotech/life-sciences, AI-pharma, and AI developers of clinical applications, in enterprises, growth companies, and research organisations. PharosAI will also provide a “lend me an expert” concierge service, training and education in AI for clinicians, and an end-to-end product development and deployment service, helping cancer pathology services to be more easily deployed within the NHS. This will be facilitated by a best-in-class patient involvement and governance model, and fair value sharing for data providers.

PharosAI will revolutionise AI-powered cancer care, driving breakthrough therapies, clinical applications, addressing cancer’s social determinants, lowering barriers to UK SMEs, catalysing innovation and positioning the UK as a global leader in this dynamic ecosystem. 

About the role

This is a unique opportunity to join the team in further developing the services for patients with cancer at Guy’s Cancer – with a specific focus on lung cancer and pancreatic cancer. There will be close links with clinical staff as well as the clinical analytics team at Guy’s and St Thomas’ NHS Foundation Trust through Guy’s Cancer Real World Evidence programme. Moreover, this post will form part of the newly launched PharosAI initiative.

PharosAI, led by a team of researchers and clinicians from King’s, Queen Mary University of London, Guy’s and St Thomas’ NHS Foundation Trust, and Barts Health NHS Trust, promises to transform cancer care by unlocking decades of NHS cancer data and hosting it on one powerful, secure, AI-ready platform. PharosAI will accelerate the development and deployment of next-generation AI models for cancer diagnosis and drug discovery, leading to faster and better-informed healthcare for UK cancer patients. The Research Ventures Catalyst funding from the UK Government adds to £24.7 million raised from partners including charities including Breast Cancer Now, Guy’s Cancer Charity and Barts Charity, AI developers, pharma, biotech and technology companies, and public research organisations.

The successful applicant will be dynamic, highly skilled team player, keen to support the development of these cancer services.

This is a full time contract (35 hours per week), and you will be offered a fixed term contract until 31 March 2027.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience

Essential criteria

  • PhD in cancer or data-related discipline or at least 5 years of experience with advanced data-analytics
  • Ability to write and communicate effectively on data analysis and interpretation
  • Ability to work under pressure and committed to giving attention to quality and validity of the output
  • Microsoft Office Professional, SAS, R and STATA – ability to analyse large clinical outcome data sets
  • Coding skills using SQL and Python; Experience of managing data in a Data Lakehouse environment such as SNOWFLAKE 
  • Good statistical knowledge, with excellent analytical and organizational skills
  • Highly evolved communication, interpersonal and presentation skills; including written and verbal communication, formal presentations, including to professional/external bodies.
  • Knowledge of the Data Protection Act and other relevant security and confidentiality procedures are complied with

    • Desirable criteria

  • Experience with application of Natural Language Processing (NLP) Models
  • Ability to prioritise workload and plan ahead
  • Ability to work independently in a flexible and agile way
  • Self-motivated and able to work independently, but also as part of a team

    • Downloading a copy of our Job Description

    Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

    Further Information

    We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

    We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

    We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

    To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

    This post is subject to Disclosure and Barring Service clearance.

    Grade and Salary: £44,355-£51,735 per annum, including London Weighting Allowance
    Job ID: 112345
    Close Date: 28-Apr-2025
    Contact Person: Mieke Van Hemelrijck
    Contact Details: Mieke.vanhemelrijck@kcl.ac.uk


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