Clinical Data Analyst

Job Description

Job Title: Clinical Data Analyst Department: Data Management and Statistics Reports To: Associate Director, Biostatistics and Analytics Location: Remote Employment Type: Full-Time Job Summary: The Clinical Data Analyst will play a key role in generating actionable insights through advanced data analysis and reporting. This position requires strong expertise in R programming, data visualisation, and automation to support informed decision-making across teams. The role contributes directly to enhancing the consistency, efficiency, and quality of data reporting within a clinical research or healthcare environment. Key Responsibilities: Develop and maintain automated reports and dashboards using R programming to support various stakeholders. Standardize reporting tools and templates to ensure consistent presentation of clinical and operational data. Create visualisations and conduct trend analyses to identify performance patterns and study-related insights. Collaborate with cross-functional teams to gather requirements and deliver tailored analytical solutions. Provide analytical support for forecasting, resource planning, and study metrics such as FTE and SDV. Maintain thorough documentation of data processes, methods, and reporting protocols. Monitor tool performance, identify bugs or inconsistencies, and coordinate resolution with relevant teams. Support updates to SOPs, work instructions, and programming standards to align with current best practices. Ensure adherence to applicable data protection regulations, quality standards, and internal policies. Key Performance Indicators (KPIs): Timely and accurate delivery of reports and analytical tools Stakeholder satisfaction and engagement Percentage of automated reporting processes Quality and accuracy of data-driven projections Number of bugs/issues resolved Compliance with audit requirements and data standards Volume of self-initiated or support-driven projects Participation in training or knowledge-sharing initiatives Required Qualifications: Education: Bachelor’s degree in Statistics, Biostatistics, Mathematics, or a related quantitative field. Experience: 4–6 years of relevant experience in data analysis, ideally within a clinical research or healthcare setting. Technical Skills: Advanced R programming and data manipulation Automation and reporting tool development Data visualisation and interpretation Documentation and protocol writing Basic project management Behavioural Competencies: Strong communication and collaboration abilities Detail-oriented with analytical thinking Effective problem-solving skills Time management and ability to handle multiple priorities Show more Show less