Analyze and develop predictive modeling using heterogeneous data mainly Electronic Medical Records
Develop and utilize algorithms using heterogeneous data supervised and unsupervised classification machine learning models
Process heterogeneous data including EMR imaging NGS and realworlddata
Automate integration of ML models and different data sources
Write and maintain scripts for processing big data from public and proprietary clinical trials
Be part of infrastructure design implementation and maintenance including ETL pipelines over cloud (AWS)
Qualifications & experience:
M.Sc. or Ph.D. in mathematics computer science data science bioinformatics or another related field
B.Sc. with relevant experience will also be considered
Demonstrated experience in medical and/or biomedical data analytics and graphical presentation machine learning and deep learning algorithm development/utilization
Proficiency in SQL (preferably PostgreSQL / MySQL)
Prior programming experience with R and/or Python
Good understanding of medical data
Superb written and oral communication skills in English
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