Bioinformatics Engineer
At Velsera, the focus has been on advancing genomic analysis through the development and optimization of a Family Trio Analysis Workflow, contributing to the field of Medical Informatics. The workflow's success is attributed to our team's proficiency in Python and CWL, enabling us to detect de novo mutations and loss of heterozygosity (LoH) with greater accuracy.
Our recent efforts include enhancing data interpretability by creating comprehensive reports and visualizations. This work not only demonstrates a commitment to improving bioinformatics tools but also reveals a dedication to making complex data more accessible for clinicians and researchers, supporting advancements in personalized medicine.
Experienced bioinformatician with extensive experience in the bioinformatics. Proficient in molecular biology, genetics, and bioinformatics algorithms and tools, with advanced programming abilities across various languages. Experienced in database management and web development using cutting-edge technologies. A dedicated researcher with multiple academic publications. Skilled in molecular biology, genetics, laboratory methods like NGS, PCR-RFLP, Real-Time PCR and ELISA, using advanced web technologies. Experienced teaching and research assistant.