Skills:
Data Scientist
SQL
8 - 10 years PBM (Gap in care adherence, Rebates, Coupons, 340B, Co-pay optimization)
Looking for a data scientist with a strong PBM background to partner with our data & analytics lead and support a large-scale PBM client. Will be responsible for transforming complex healthcare and pharmacy data into actionable insights, predictive models, and analytical solutions that drive business outcomes, operational efficiencies, and improved member experiences.
The ideal candidate will have deep experience working with healthcare claims, pharmacy data, member data, and large-scale datasets, along with strong expertise in statistical analysis, machine learning, and advanced analytics. Should be familiar with Gap in care adherence, Rebates, Coupons, 340B (speciality discount for hospitals) and Co-pay optimization.
Will Develop and deploy predictive and prescriptive analytics models to support business, operational, and clinical initiatives. Analyze large healthcare and pharmacy datasets to identify trends, opportunities, risks, and performance improvement areas. Partner with business stakeholders, product teams, and the data & analytics lead to translate business requirements into analytical solutions.
Will initially work on discovery of current analytics, understand client intent and algorithms used to identify areas of improvement. Will architect new models, perform advanced statistical analysis and data mining, develop dashboards, visualizations, and executive-level reporting. Collaborate with data engineering teams to ensure data quality, integrity, and accessibility. Support data governance and validation activities.
*************MUST HAVE AT LEAST 8 YEARS PBM (pharmacy benefits management)*******************
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