Data Quality Analyst

At OPRI we focus on improving disease management and patient outcomes by undertaking the highest quality observational and pragmatic clinical research. Working here means being ambitious, thinking big and working together to make a difference.

By collaborating with world-renowned clinical, academic and industry partners OPRI has published over 200 papers and is considered a dynamic and progressive company at the forefront of advances in global healthcare.

The Data Quality Analyst will locate, access and review secondary real world data sources within the Observational & Pragmatic Research Institute, providing opportunities for process improvement.

Main responsibilities

  • Develop Study Data Tabulation Model (SDTM) processes and corresponding process documentation to cover generation of SDTM datasets, QC processes, queries and final submission.
  • Identify opportunities for data processing and quality control standardization techniques to increase efficiency and train others to implement new techniques as necessary
  • Produce, contribute to, and maintain technical documentation and operating procedures regarding secondary data sources and SDTM processes.
  • Attend to and solve data extension requests from the research team, including liaison with the data controllers
  • Assess data quality, both from a perspective of data availability and accuracy
  • Provide support to colleagues on various data related initiatives as required providing practical guidance and solutions to data quality issues
  • Perform regular data access audits and communicate to teams involved
  • Ensure all data access and processing follow internal policy and procedure guidelines e.g. GDPR.
  • Construct and edit electronic Case Report Forms (eCRFs) to identify and minimise errors at the point of data entry/ collection for all key research variables.
  • Administer the data entry platform (Open Clinica/REDCap)

Qualifications and Experience

  • BSc preferred, or a degree with a focus on health research, science, or business administration.
  • Experience of data quality coordination with health research data (clinical trials and/or registries and/or clinical databases) preferred.
  • Experience working with statistical software (Structured Query Language (SQL), STATA or R is essential.

Salary:  dependant on experience.

Location:  Hybrid working from Oakington, Cambridge or Aylsham, Norfolk.

Apply with a CV and covering letter to Carole Andrews, HR Lead (