Clinical Research Associate transitioning into Clinical Data Management — combining 3+ years of hands-on GCP experience with growing expertise in data analysis and digital health systems.
I am a detail-oriented healthcare professional with a background spanning clinical documentation, source data verification (SDV), regulatory compliance, and site coordination. My career has been built in high-stakes hospital environments where accuracy is non-negotiable.
Currently completing a BSc in Biotechnology (Sept 2026), I am actively transitioning into the intersection of clinical research and data — building skills in Python, SQL, and clinical data systems to complement my deep understanding of GCP workflows.
I am fluent in German (C2) and English (C1), remote- and travel-ready across Europe, and available immediately for CRA or Clinical Data roles.
A data analysis project simulating the review and classification of adverse events (AEs) from a Phase II clinical trial dataset. Demonstrates the application of CRA domain knowledge to automate data quality checks, flag severity patterns, and generate summary reports — skills directly applicable to Clinical Data Manager roles.
⚙️ Project in development — combining clinical research expertise with Python & Pandas.
End-to-end data quality pipeline built on real MSK oncology data (604 patients). Automated DQ checks identified 8 data quality issues including 67 missing SUV values — flagged as High severity.
SQL-based clinical data analysis pipeline using real MSK oncology data. Complex queries for survival analysis, stage distribution, and missing data flagging — exported to structured Excel report.
SAS-based analysis using PROC IMPORT, PROC FREQ, and PROC MEANS on real MSK oncology data. Publication-ready output tables matching Clinical Study Report (CSR) format.