Clinical Data Analyst
Summary
Analyzes clinical trial data to guide patient recruitment, site selection, and feasibility for global healthcare studies using SQL, Python, Databricks, and Power BI.
π» Ework Group β founded in 2000 and listed on Nasdaq Stockholm β is a leading total talent solutions provider supporting clients across the private and public sectors, as well as independent professionals, in building sustainable talent supply chains.
With a strong focus on IT/OT, R&D, Engineering, and Business Development, Ework delivers value through an independent, holistic approach to total talent management.
For our Client from the healthcare sector, we are currently looking for Clinical Data Analyst
π Location: Warsaw, Poland
π’ Work model: Fully remote, ONLY IN POLAND, with occasional presence in the Warsaw Hub
π Start date: 03.08.2026 or later
CONSULTANT MUST BE LOCATED IN POLAND
Recruitment process: Held in English, 2-stage online meeting.
At the interview stage, the ideal candidate should be able to provide relevant case studies and examples of previous work that demonstrate their experience and capabilities. Questions regarding consideration of countries for clinical programs, recruitment timelines, site allocation and patient targets, risk and costs of trade-offs etc.
Role Overview
We are seeking an experienced Clinical Trial Analytics Consultant to support data-driven planning and decision-making across global clinical development programs.
The consultant will leverage historical clinical trial data, advanced statistical methods, and predictive analytics to provide actionable insights related to country selection, patient recruitment, site allocation, and study feasibility.
This consultant must possess strong analytical capabilities, hands-on experience working with clinical trial data, and proven expertise in modern analytics platforms and tools, including Databricks, SQL, Python, Power BI, and Excel.
He/she should be able to translate complex datasets into actionable insights that support clinical trial planning, recruitment forecasting, feasibility assessments, and strategic decision-making.
- Strong experience in global clinical trial analytics.
- Expertise in recruitment forecasting and predictive modelling.
- Experience with country allocation, feasibility assessments, and patient/site planning.
- Advanced statistical analysis and modelling capabilities.
- Proficiency in SQL and Databricks.
- Strong Python programming skills for data analysis and modelling.
- Experience using Power BI and Excel for reporting and visualization.
- Proven experience supporting major pharmaceutical sponsors and clinical development organizations.
- Strong understanding of clinical trial operations, recruitment planning, and feasibility processes.
- Experience working within regulated environments and adhering to data governance requirements.