Senior Analytics Development Lead
Talent Acquisition Business Partner
- Full Service Division
About the role
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- Use a range of elicitation techniques to mine business requirements for clinical analytics projects and analyse the information gathered to identify essential business needs and dependencies
- Initiate, build and maintain collaborative working relationships with stakeholders to provide information, seek feedback and solve problems as and when they arise
- Lead the delivery of multiple, parallel analytics projects, including complex study deliveries, documenting all development and project management activities in accordance with standard operating procedures
- Work with central monitoring stakeholders to define new key risk indicators (KRIs); automated, analytics-based approaches to KRI aggregation; and new analytics-driven approaches to safety signal and data anomaly detection
- Prepare and execute formal presentations for internal and external customers to communicate analytics approaches, designs and delivery plans
- Exemplify ICON's values, which centre on accountability and delivery, integrity, partnership with clients and cross-functional collaboration
- Bachelor’s degree, or equivalent, in computer science, mathematics, life sciences or information management
- Clinical research industry experience
- At least a working knowledge of the central monitoring of clinical trials, including the use of key risk indicators and analytics-driven approaches for monitoring data quality and patient safety
- Experience documenting analytics requirements, business rules and output/technical specifications for adoption by stakeholders and developers
- Experience in clinical data mapping, extraction, transformation and load processes
- Data tools such as SAS, R, SQL, TIBCO Spotfire and Tableau (all highly desirable) and IronPython, PL/SQL, XML, JSON, Excel/VBA, C# and RegEx (nice to haves)
- Data concepts such as relational databases, data virtualisation and electronic case report forms (all highly desirable) and APIs, machine learning, clustering, regression and forecasting (nice to haves)
- Project management, system development lifecycle and requirements elicitation and analysis
- Collaboration, client relationship management and knowledge management
- Verbal and written communication
- Critical thinking and problem solving
- Drive and self-development
- Mentoring and coaching
- Learning new technologies, applications and techniques
Application process
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