

Recent MSc Biotechnology graduate with a strong foundation in bioinformatics, data analysis, and genomic research. Gained practical experience during an internship focused on the critical analysis of topologically associated domains in Mus musculus, using tools like Python, R, and SQL. Completed certification courses in clinical data management and SQL, equipping me with the foundational knowledge to effectively manage, analyze, and interpret clinical trial data. Demonstrates a keen attention to detail, strong problem-solving abilities, and a passion for leveraging data to improve healthcare outcomes. Eager to apply my technical and analytical skills in a clinical data management role, contributing to the optimization of data processes and supporting informed decision-making in clinical research.
Technical Skills: Python, SQL, HiC-Pro, Juicebox, TADtool, Oracle SQL Basics, Microsoft Office Suite (Excel, Word, PowerPoint), Basic Data Visualization (Tableau, Excel charts)
Regulatory Knowledge: Familiar with Good Clinical Practice (GxP), CDISC, ICH, FDA, etc, Guidelines for clinical data
Research Skills: Genomic data analysis, genome annotation, hypothesis testing, literature review, report writing, statistical analysis
Soft Skills: Team collaboration, problem-solving, attention to detail, learning agility, time management, adaptability, critical thinking
Communication Skills: Presentation delivery, report documentation, and scientific writing
Organizational Skills: Task prioritization, multitasking, deadline management