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Lead Quantitative Research Engineer
in quantitative finance, machine learning engineering, or related fields Deep experience in time-series analysis and forecasting, particularly for illiquid assets Proven experience in transitioning models from development to production Fluent in Python
Real World Evidence Analyst
Public Health, Epidemiology, Health Economics, Biostatistics, Data Science, or a related field (Master's preferred) Basic understanding of healthcare data and real-world evidence concepts Experience with data analysis tools such as Excel, SAS, R, Python
Real World Evidence Analyst
Public Health, Epidemiology, Health Economics, Biostatistics, Data Science, or a related field (Master's preferred) Basic understanding of healthcare data and real-world evidence concepts Experience with data analysis tools such as Excel, SAS, R, Python
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