RWD/Clinical Pharmacy Analytics Advisor – Forsyth Health - Remote @ The Cigna Group
OverviewA career within Forsyth Health’s Data & Analytics team will provide you with the opportunity to help Pharma/Life Science organizations uncover patient and market insights. At Forsyth Health, we focus on a collection of data management, business intelligence and advanced analytics capabilities to support various functions within these organizations to meet their business needs around market access and patient support programs.How you'll make a difference:The Real World Data Advisor position is a key role to the enterprise and will be supporting a highly complex and growing area within the health care data and analytics services space. As a strong individual contributor, the role will lead client engagements to define, develop and communicate insights critical to Commercial, Market Access, HEOR and Evidence Generation functions at Pharma/Life Science. Responsibilities include leading Outcomes Research studies, Advanced Analytics, ML model development and general analytic support for all stakeholders. This role will work closely with the internal Sales and Technology teams. This person will need to be able to understand the needs within the Commercial Pharma Analytics space and translate those into actionable insights. Role Summary:The Real World Data Advisor position is an opportunity for an analytics professional to provide leadership on complex analytics projects and initiatives. This role will work with an innovative team on setting and executing the vision for how advanced embedded analytics can lead Forsyth Health to achieving our growth goals. This role will work collaboratively with internal and external stakeholders to provide partnership in analytics, developing RWD analytics solutions to inform Commercial & Market Access Analytics, leveraging advanced analytic and technologic capabilities and embedding analytics driven processes.Job ResponsibilitiesThe job responsibilities include, but are not limited to the following:Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) using SQL to identify populations of interest in HVM data and…
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