Rome, Latium, Italy
I graduated in Pharmaceutical Biotechnology Ms degree since July 2025. I worked in various laboratories. I acquired practical skills in different analytical techniques such as chromatography and Western blotting. During a 200-hour internship in a clinical analysis laboratory I used to perform clinical chemistry, hemostasis/coagulation analysis, immunoassay and immunoanalysis, electrophoresis, urinalysis and COVID-19 analysis of test samples (all the instruments used are listed below). I also had been responsible of inventory managment. Additionally I did two short internships: in an oncologic laboratory where i worked on tumor cell growth models and in a nanoparticles research laboratory in which the researcher were studying new structures and production methods. In parallel of my course of study I also learned how to code in C and Python during an extracurricular internship. I applied these skills to my thesis project, which focused on data analysis and biostatistics, and led to the implementation of a meta-predictor for deleterious SNPs using different algorithms in a Linux environment ment building the code in python. CORE SKILLS Clinical laboratory analysis and biological sample handling; automated clinical laboratory instrumentation (BT 3000 Plus, Sysmex CA-500, Vitros ECiQ, VIDAS, Sebia Hydrasys); genomic data analysis and SNP pathogenicity classification; development of predictive and meta-predictive models; Python-based data analysis and machine learning (pandas, scikit-learn, KNN, Random Forest, PCA, PLS regression); statistical model evaluation and validation. ADDITIONAL SKILLS Oncology and nanoparticle experimental research environments; laboratory process monitoring and small-scale batch reactors; basic C programming; large-scale dataset handling; use of Jupyter Notebook, VS Code, Git and cloud storage; integration of wet-lab and computational workflows; technical communication in English (C1), good knowledge of office package.
- Development of a machine learning based prioritization model for association between SNPs and development of disorders based on others prioritization models - Database research, analysis and cleaning - Use of Python, with libraries like scikitlearn, pandas, numpy - Working on ssh virtual machine
Acquiring programming skills in C and Python
- Execution of clinical chemistry analysis - Execution of hemostasis/coagulation analysis - Execution of immunoassay and immunoanalysis - Execution of electrhoporesis and urinalysis - Inventory management
- Communication and collaboration with restaurants - Delivery to clients - Occasionally working on manage order system on the agency site
- Customer support with cross and up-selling - Order, inventory and event management - Merchandise display