Role summary
We are looking to recruit an Analytics Development Lead as part of a specialist team responsible for building derived data libraries, Data Quality Assessment (DQA) and Key Risk Indicator (KRI) dashboards in the central monitoring platform CluePoints.com, as well as performing KRI and DQA analysis in the platform to support central monitoring.
The candidate will be working with stakeholders to define study level Risk-Rased Monitoring (RBM) strategies, hands-on deployment, processing and maintenance of data for analysis and process documentation. This position will also be expected to conduct central monitoring activities, such as system output review, signal reporting and action management. Mentorship of junior technical staff is expected and the ability to work both independently and in a matrix team environment is essential.
*This role can be based in Dublin or Warsaw*
Key responsibilities:
- Develop and maintain study set-up in the central monitoring platform
- Define and build KRIs, ensuring standard deployment consistency and alignment with corporate standards and regulatory requirements
- Build and maintain study specific DQA dashboard, analyse and report any data quality outliers and atypicality
- Influence and communicate with key stakeholders and provide data reporting support to study teams across the research and business units
- Build and maintain collaborative working relationships with stakeholders to review reported findings, actions resolution and solve problems as and when they arise.
- Provide technical oversight, guidance and coordination for all the central monitor activities
- Implement and maintain quality control (QC) documentation for RBM activities, in accordance with departmental procedures
- Manage own time and priorities effectively while working on multiple projects
- Mentor and supervise less junior staff and be responsible for the quality and accuracy of the work done
Key Responsibilities:
- Bachelor's degree, or equivalent level qualification in Natural Sciences, Mathematics, Computer Science, Information Management or Information Technology, or have gained experience in a similar discipline.
- Experience in developing in R, SAS or any other SQL languages
- Knowledge of Windows Environment and its applications (Word, Excel, PowerPoint, Project, etc.)
- Good understanding of data modelling and manipulation techniques, including ETL and aggregation methods
- Project management experience and proven business analysis and requirements elicitation skills
- Good presentation skills and proven ability communicating requirements and solutions to team members and stakeholder
- Working knowledge of clinical development process and good understanding of clinical data management
- Desired experience in clinical risk management, central monitoring strategies and statistics-based data profiling