Our client is seeking a Data Scientist to join their Data Science & AI team, focusing on pharmaceutical analytics and real-world data insights. In this client-facing role, you’ll work closely with pharmaceutical clients to uncover critical insights that drive business decisions across commercial, clinical trials, and medical domains. This is a unique opportunity to work at the intersection of data science, healthcare, and behavioral analytics, tackling real-world challenges such as patient engagement, healthcare mistrust, and access to care. Position Overview As a Data Scientist, you’ll play a crucial role in analyzing patient journeys and delivering impactful insights to clients across clinical trials, media, and commercial healthcare entities. This position is both technical and consultative, requiring hands-on data analysis, client engagement, and strategic problem-solving. Key Responsibilities Partner with pharma clients to understand business challenges and develop data-driven solutions. Apply predictive analytics, regression modeling, and statistical techniques to uncover insights. Conduct descriptive and geospatial analytics to support market and revenue optimization strategies. Work on commercial analytics, leveraging real-world data (RWD) to enhance decision-making. Use human-centered data approaches to analyze patient journeys and barriers to healthcare access. Collaborate cross-functionally with internal teams, including Product & R&D, to collect, analyze, and refine datasets. Develop data-driven business cases and translate complex insights into clear, compelling presentations for both internal and external stakeholders. Support business development efforts through consulting, data analysis, and presentation development. Your Skills & Experience Proven client-facing experience, with the ability to translate business problems into analytical solutions. Expertise in predictive modeling, statistical techniques, and regression analysis. Proficiency in Databricks, Python, R, and SQL for statistical analysis and data modeling. Experience analyzing real-world healthcare data with a focus on human behavior and patient engagement. Deep understanding of commercial analytics within clinical trials, medical, or pharmaceutical industries. Strong problem-solving skills, intellectual curiosity, and ability to work in a fast-paced, analytical environment. Master’s degree required; PhD is a plus. Remote work model with occasional travel to Washington DC. Opportunity to work on cutting-edge health equity and behavioral analytics. Direct impact on healthcare decision-making and patient engagement. Collaborative and innovative team environment. How to Apply? Interested candidates can apply by sending their resume to Gabriella Ferrara . Keywords Data Science, Healthcare Analytics, Patient Journey, Descriptive Analytics, Pharma, Clinical Trials, Databricks, Python, R, SQL, Behavioral Analytics Seniority level Associate Employment type Full-time Job function Analyst and Science Industries Hospitals and Health Care #J-18808-Ljbffr Harnham
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