Senior Associate HEOR/RWE

apartmentKMK Consulting placeMorristown calendar_month 

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise.

Job Overview:

We are currently seeking an experienced Health Economics & Outcomes Research (HE&OR) Associate. This position is responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.

Job DescriptionProvide consultation and recommendations with clear business and statistical rationales to clients and internal team on all aspects of RWE databases studies/analyses including objectives, study design and methodology, data source identification and comparison, protocol development, statistical analysis and interpretation.Lead and execute with full ownership of RWE studies/analyses by SAS/SQL/R/Python based on claim database, EMR database, registry data and public used files.Generate high quality, readily interpretable deliverables (e.g., data tables, graphs, charts, study reports)Design and develop mock table shells, prepare specifications, and ensure quality control on analyses conducted by junior level associates.Effectively manage and track all studies/analyses to ensure timelines are met and all stakeholders aware of project status.

Foresee potential issues and impact on project timeline, and provide suggestions on best path forward for engagement success.Effectively communicate research findings internally and externally, as appropriate (e.g., congresses, publications)Ensure latest methodologies and analytical techniques are implemented.Contribute to the continuing education of relevant line functions on RWE methodologies.

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