Job Description
The Clinical Trial Data Analyst plays a crucial role in the planning and execution of clinical trials, focusing on a data-driven approach for planning and conducting studies in specific locations and with particular patient populations. This role combines expertise in clinical research, data analysis, and strategic thinking to ensure that clinical trials are set up for success and meet their objectives. This person will develop tools and databases to gather, analyze, format and communicate data in a way that study teams can understand the insights. The incumbent will work closely together with clinical study leads, clinical operations leads, network strategy team and data management.
Responsibilities
* Data Analysis and Interpretation: Query, aggregate, analyze, and derive results from clinical trial operations data, including patient demographics, disease prevalence, referral & treatment patterns, and competitive landscape, in support of study planning and execution.
* Site and Investigator Identification: Identifying potential clinical trial sites and investigators based on their experience, expertise, and patient population - including patient diversity and patient referral patterns.
* Enrollment Forecasting: Developing realistic patient enrollment timelines and targets based on feasibility assessments. Execute scenario analyses during study planning phase and study execution phase allowing impactful strategic and operational decisions
* Risk Assessment and Mitigation: Implement metrics related to study performance and study quality (KPIs & KQIs) to track and communicate study status and recommended actions. Identifying potential risks and challenges to study execution and developing mitigation plans.
* Collaboration and Communication: Working closely with clinical operations team, clinical development team, network strategy steam and biometrics department to ensure that quantitative assessments are integrated into the overall study planning and execution.
* Report Writing and Presentation: Developing, maintaining, and enhancing models, tools, and visualizations to support ongoing or planned clinical trials. Preparing comprehensive reports communicating complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
Requirements
* Bachelor's or Master's degree in a field related to data science, engineering, computer science, statistics or machine learning. Working experience can be considered in lieu of a degree.
* Five years or more of relevant experience in supporting the operational feasibility, design, and analytics of clinical trial operations.
* Experience working at a Clinical Research Organization or Pharmaceutical company conducting study feasibility, site selection analytics and study performance analytics. A thorough understanding of clinical trial design, execution, and regulatory requirements.
* Expert skills in Excel and PowerPoint.
* Proficiency in both Python and SQL for data querying, aggregation, and analysis.
* Experienced in modeling and analyzing situations that involve multiple variables and possible outcomes, including the use of Monte Carlo Simulations.
* Experienced in working with real-world data modalities such as Medical Claims, Electronic Health Record data. Experience with clinical trial databases (e.g., Citeline) is an advantage.
* Fluency in English.
* Demonstrated ability to engage and work with clinical study teams to understand their needs and deliver results.
* Strong communication skills, with the ability to present data-driven findings to both technical and non-technical audiences.
* Ability to author dashboards summarizing key metrics and insights and authoring insightful slides to summarize the results of analysis.
* Existing right to work in Europe required.
Contract information
* Fulltime position
* Remote position
* ASAP start date
* A balanced salary package based on your capabilities and experience, including extra legal benefits
Vacancy number: 26202