11 часов назад
Information Advisor, Large Pharma (AI/ML)
111 200 - 349 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Information Advisor, Large Pharma (AI/ML): Defining go-to-market strategies and advising pharmaceutical clients on data strategy, transformation, modeling, and analytics with an accent on AI/ML, NLP, predictive modeling, and real-world evidence. Focus on shaping analytics offerings, leading large-scale data programs, influencing executive stakeholders, and aligning solution design with delivery outcomes.
Location: Wayne, Pennsylvania, United States
Annual base pay range: $111,200–$349,000, with potential incentives, bonuses, and additional benefits.
Company
provides clinical research services, commercial insights, and healthcare intelligence for life sciences and healthcare organizations.
What you will do
- Define and execute go-to-market strategies for pharmaceutical data and analytics services.
- Build relationships with senior stakeholders and lead proposals, solution shaping, and pricing for new engagements.
- Advise pharmaceutical clients on data strategy, transformation, modeling, analytics, and enterprise data roadmaps.
- Guide client investment decisions involving AI/ML, real-world evidence, and advanced analytics.
- Partner with delivery leaders to oversee solution design, delivery quality, escalations, and outcomes across Commercial, R&D, and Medical projects.
- Develop pharma analytics offerings and accelerators, including AI-driven insights and clinical trial optimization, and represent the firm at industry conferences.
Requirements
- Bachelor’s degree in Data Science, Health Informatics, Life Sciences, or a related field; a relevant master’s degree is preferred.
- At least 10 years of experience in healthcare or pharmaceutical data and analytics, including at least 5 years in consulting or client-facing roles.
- Experience developing go-to-market strategies and leading large-scale data programs for global pharmaceutical clients.
- Expertise in advanced analytics, including AI/ML, NLP, predictive modeling, and pharmaceutical data ecosystems.
- Strong business development, revenue growth, client acquisition, executive presence, and stakeholder influence skills.
- Hands-on experience with claims, prescription and sales, EMR and laboratory, and physician reference data.
Nice to have
- MBA or PhD.
- CHDA, CPHIMS, or certifications in pharmaceutical analytics and clinical data.
Culture & Benefits
- Health and welfare benefits may be available depending on the position and employment schedule.
- Potential incentive plans, bonuses, and other forms of compensation may supplement base pay.
- Equal opportunity employment and an integrity-focused hiring process.
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