Masters degree in Biological Sciences or Biostatistics, or a related field or foreign educational equivalent and one 1 year of experience analyzing performance metrics from high volume, multisource, complex datasets. Specific skillsother requirements One year of experience must include Collecting, cleaning, transforming and analyzing complex, high volume, multidimensional claims data gt;100MM records using Python pandas, numpy, sklearn, SQL, PySpark, SAS and R; Creating customized interactive data visualization products using HTMLCSSJavaScript to elevate existing data products and support business strategies; Utilizing claims datasets to conduct analyses for pharmaceutical clients, including market mapping, patient journey, HCP segmentation, HCP receptivity referrals, network analysis, key business influencers identification, and payer analytics; Building machine learning models SVM, Logistic, Random Forest using Python with health claims data to guide market segmentation and inform product commercialization strategy for life science clients; Performing data visualization using Power Bl, or Qlik Sense, and dashboard development to track product performance, assess market trend, and measure market share in terms of volume and sales; Performing longitudinal and crosssectional analysis to deliver impactful and actionable insights to clients leveraging healthcare claims and prescription database, including PharMetrics, LAAD, Compile, HCOS, DRG, Symphony and DDD; Developing standardized web crawling Python scripts for web data collection and improve working efficiency.
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