Summary
Jennifer Segura is a bioinformatics specialist and cytogeneticist with 10 years of experience combining classical karyotyping and next-generation sequencing analysis to support diagnostics. She holds a Master's in Bioinformatics and is fluent in Python, R, and Shell, having standardized HPC pipelines for variant calling and automated WES/WGS reporting. Her work spans hands-on cytogenetics in bone marrow, amniotic fluid and chorionic villi to curator roles that translate complex genomic variants into clinical reports. Jennifer is an active community contributor and speaker (PyCon Colombia, SciPy Latam) who enjoys applying machine learning and data mining to biological problems. She has a track record of competition wins in data challenges, reflecting a practical knack for turning data into actionable insights. Based in Bogotá, she seeks interdisciplinary roles that bridge wet-lab cytogenetics and computational genomics.
9 years of coding experience
Maestria en Bioinformática, Maestria en Bioinformática at Universidad Nacional de Colombia
Licenciada en Biología, Human/Medical Genetics, Licenciada en Biología, Human/Medical Genetics at Universidad Distrital Francisco José de Caldas
Universidad de los Andes