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Senior Data Associate

Job in Egham, Surrey County, TW20, England, UK
Listing for: Meet Life Sciences
Full Time position
Listed on 2026-08-18
Job specializations:
  • IT/Tech
    Data Analyst, Information Security & Data Protection, Data Warehousing, Data Engineering
Salary/Wage Range or Industry Benchmark: 40000 - 65000 GBP Yearly GBP 40000.00 65000.00 YEAR
Job Description & How to Apply Below

Hybrid: 3 days in office / 2 days remote

Hours: Monday–Friday, 9:00am–5:30pm

About the Company

A global specialty pharmaceutical group focused on developing and commercialising treatments for patients with genetic, metabolic, systemic and life-threatening acute disorders, as well as healthcare solutions for the general population.

About the Role

We are seeking a Senior Clinical Data Associate to support the Data Manager / Senior Data Manager across data management activities for interventional and/or non-interventional clinical studies.

The successful candidate will support end-to-end clinical data management activities from study start-up through to close-out, ensuring data integrity, validity and reliability in accordance with applicable regulations, ICH-GCP requirements, SOPs and study plans.

As an integral member of the extended study management team, you will contribute to study delivery and broader programme-enabling activities, working cross-functionally with internal teams and external partners.

This is an opportunity for an experienced Clinical Data Associate to develop towards a Data Manager position, with increasing autonomy and responsibility across clinical data management activities.

Key Responsibilities Clinical Study Delivery
  • Support the implementation of the Clinical Affairs strategy, helping drive quality, cost, speed and efficiency across clinical study delivery.
  • Support oversight of data management activities, proactively communicating progress, risks, issues and changes that may impact study quality, timelines or budget.
  • Provide study-level updates to Data Managers and Clinical Study Leads as required.
  • Work cross-functionally to ensure transparency, knowledge transfer and alignment across studies.
Data Management Activities

Responsibilities will include, but are not limited to:

  • Supporting study start-up activities, including review and development of study documentation and plans such as Statistical Analysis Plans, Data Management Plans and Data Quality Review Plans.
  • Supporting the design of Case Report Forms, database specifications and database software selection.
  • Supporting database build and testing, including the design and testing of edit checks.
  • Supporting risk-based quality management activities.
  • Supporting study monitoring and risk-based processes to oversee data quality, integrity, participant safety and rights.
  • Supporting data review and cleaning activities, including query generation and resolution.
  • Supporting database lock and data transfer processes, including delivery of tables, figures and listings.
  • Performing ongoing review of data listings, reconciliation outputs and key study metrics to identify data quality trends and potential risks.
  • Performing clinical study data coding, including MedDRA and WHODrug
    .
  • Supporting external data vendor oversight, including EDC service providers, data transfers, reconciliation processes and issue management.
  • Participating in User Acceptance Testing (UAT) of clinical databases and system enhancements.
  • Ensuring study files accurately reflect data management activities and that documentation is filed contemporaneously.
  • Supporting inspection readiness and GCP audits and inspections.
Clinical Data & Process Improvement
  • Contribute to initiatives supporting study delivery and overall portfolio efficiency.
  • Support process enhancement and modernisation of clinical trials, including digitalisation, automation and adoption of artificial intelligence tools.
  • Contribute to the development and implementation of data standards, lessons learned and best practices across clinical programmes.
  • Support the adoption of new technologies, automation and data visualisation tools to improve data review efficiency.
  • Support the development of external communications relating to clinical studies.
  • Contribute to the creation and maintenance of SOPs.
  • Participate in internal and external meetings and presentations as required.
Education
  • Degree qualification in Biosciences, Life Sciences, Data Science, Computer Science, Health Sciences or a related discipline.
Experience
  • Minimum 2 years' experience in Clinical Data Management, Clinical Data Operations, Clinical Research or a related…
Position Requirements
10+ Years work experience
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