Will work with the ME.AI Director, Engagement Manager and vendor partners to design, deploy, and enhance medical engagement solutions for the oncology portfolio.
Will be responsible for identifying opportunities to improve competitiveness, drive execution efficiencies, and optimize medical engagement to maximize patient impact.
Drive continuous evaluation and enhancement of data sets and products to strengthen insights and predictive capabilities for medical customer engagement.
Collaborate with cross-functional partners to identify and quantify opportunities to improve patient outcomes through compliant scientific exchange, evidence dissemination and insights generation.
Partner closely with HCC, privacy, and legal to ensure all solutions are grounded in compliance and uphold patient confidentiality.
Develop and own the measurement framework to evaluate execution, track impact, and identify opportunities to optimize investment.
Collaborate across medical affairs, scientific affairs, commercial advanced analytics, data science & engineering, and information technology, among others, to shape medical omnichannel solution roadmap and evolve scientific engagement strategies.

A minimum of 8 years of relevant business experience in healthcare, analytics, data science, management consulting or related field is required.
A minimum of a master’s degree is required; Ph.D. is highly preferred.
Proven experience working with healthcare claims, electronic health records (EHRs), and specialty pharmacy data for real-world evidence generation and patient analytics—particularly in identifying unmet needs and treatment gaps—is required.
Strong influencing skills with the ability to engage stakeholders at all levels, and collaborate across diverse business functions, are required.
Successful track record of implementing innovative solutions—including AI/ML applications—within the pharmaceutical industry is required.
Solid understanding of machine learning techniques (e.g., supervised, unsupervised, deep learning), including their practical applications and limitations in real-world settings, is required.
Ability to do hand-on analytics.
Ability to interpret predictive model outputs, evaluate performance, and translate findings into actionable insights that align with brand strategy is required.
Strong project management and cross-functional leadership skills, with a demonstrated ability to deliver results in a matrixed environment, are required.
High intellectual curiosity and a passion for continuous learning and innovation are essential.

Associate Director, Engagement AI for Medical

Key skills