Life Sciences Solutions Engineer, Senior (Commercialization)

Responsibilities: Support delivery of AI & Data engagements for Life Sciences / Pharma clients with emphasis on commercial analytics and data transformation Build and deliver commercial use cases across segmentation, targeting, call planning, brand planning, and forecasting Ingest and analyze CRM (Veeva, Salesforce), IQVIA data, claims and specialty pharma data; map to Customer MDM structures Develop, test, and document analytics/AI/ML models translating business problems into scalable solutions Create dashboards and BI reports to inform field and brand teams Apply data governance and data quality practices to commercial data used in analytics Collaborate with strategy, product, data, engineering, and client stakeholders to shape delivery plans Prepare client-ready deliverables, workshop materials, and presentations Support pursuits and proposal content; contribute to practice assets and accelerators Mentor junior practitioners and lead project workstreams when needed

Key requirements: 6+ years of relevant experience, including 4+ years in Life Sciences commercial operations and analytics/AI/ML 2+ years hands-on experience with Life Sciences commercial data (CRM, IQVIA structures, claims, specialty data) and Customer MDM data structures 2+ years experience with SQL and Python (or R) for data analysis and modeling 2+ years experience leading project workstreams or teams in multi-location settings Bachelor’s degree in Computer Science, Engineering, Data Science, AI or related field Ability to travel up to 50% Limited immigration sponsorship may be available Strong written and verbal communication Independent and collaborative work style Attention to detail and high-quality output SQL Python (or R) AI/ML modeling