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Clinical Data Scientist- Real-World Evidence- Biostatistics- Standardized data / OMOP CDM

Bioinformatics & NeuroimagingUK Biobank Research Analysis Platform

xVantage CareTranslational Informatics

- Several projects across the field, applying machine learning models and mathematical statistics- Experience in implementing computational workflows for analysis of NGS and other high-throughput data, for example single cell, metagenomics, systems biology and quantitative proteomics

Faculty of Biomedical EngineeringDepartment of Biomedical InformaticsBiomedical and Clinical Technology

Data analysis for multi-year national projects (TAČR, GAČR), in cooperation with clinical departments- Movement analysis in near-infrared spectroscopy imaging- Neuromodulation applications- Microelectrode arrays signal processing, neuron-diamond nanoelectrode interfaces- Biomedical image analysis with deep learning architecturesClinical/research departments providing training for my PhD- General University Hospital in Prague, Department of neurology- Czech Technical University, Faculty of biomedical engineering- Institute of Physics, CAS, Department of functional materials

Development of Big Data stack for whole-exome seq analysis in oncology:- HIVE, YARN, Ambari, Zeppelin notebooks- Analytical queries in Spark2 (Scala/PySpark), data transformation & aggregation- BAM and VCF files storage in Big Data platform- Variant annotation (e.g. dbSNP, Exomiser, snpEff, KEGG, OMIM)