Associate Director, Engagement AI for Medical
OneTrust
full-time
Posted on:
Location Type: Hybrid
Location: Horsham • New Jersey • Pennsylvania • United States
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Salary
💰 $137,000 - $235,750 per year
Job Level
About the role
- 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.
Requirements
- 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.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- Company sponsored employee benefit programs including retirement plan
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceanalyticsmachine learningAI applicationspredictive modelinghealthcare claimselectronic health recordsreal-world evidence generationpatient analyticsproject management
Soft Skills
influencing skillsstakeholder engagementcollaborationcross-functional leadershipintellectual curiositycontinuous learninginnovation
Certifications
master's degreePh.D.