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Patient Data Lead
- Insight Global (Hopewell Township, NJ)
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Job Description
Insight Global's top pharmaceutical client is building an embedded team within their Commercial AI Products organization to support their Patient Experience AI capabilities. The Patient Data Lead will work across Therapeutic Areas to be the lead on data quality and validation. They will work closely with vendors to validate build and
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
3-5+ years' in Data Analysis for Enterprise Life Science manufacturers, payers, providers or related health care industry
Technical skills in Advanced Excel, SQL, Data Visualization (Tableau)
Deep experience in Patient Data Standards, compliance, and regulation
Experience with data quality, governance, data mapping, UAT, and data validation Experience with syndicated third party data (IQVIA or similar) and ingestion from various data sources
Experience with stakeholder and vendor management Demand side platforms, media activation/optimization, marketing mix modeling, media assessments, omnichannel patient orchestration
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