Назад
Company hidden
7 дней назад

Associate Director, Portfolio AI Activation

156 900 - 247 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Associate Director, Portfolio AI Activation (AI/Pharmaceutical Commercial Analytics): Leading advanced analytics, machine learning, and AI initiatives that address brand, marketing, launch, and field-force questions with an accent on HCP targeting, segmentation, commercial data, and measurable business impact. Focus on translating complex analyses into decision-ready recommendations, validating AI use cases, and driving adoption across cross-functional pharmaceutical teams.

Location: Hybrid; primary location in Rahway, New Jersey, United States. The position is available in two locations, with the posting restricted to United States, Canada, and Puerto Rico residents.

Salary: $156,900–$247,000 per year for the primary location; annual bonus and long-term incentive may also apply.

Company

hirify.global is a pharmaceutical company developing medicines and supporting commercial, analytics, and data-driven healthcare initiatives.

What you will do

  • Lead advanced analytics and data science projects addressing brand, marketing, healthcare professional targeting, customer segmentation, tiering, and promotional response questions.
  • Support launch readiness through market and patient opportunity sizing, HCP universe definition and targeting, and early launch performance tracking.
  • Develop and apply predictive, propensity, clustering, response, forecasting, and causal inference models using pharmaceutical commercial data.
  • Translate analytics into decision-ready insights and recommendations for brand leadership, marketing, field, and sales planning teams.
  • Identify business-grounded AI opportunities and support pilots such as targeting support, forecast validation, and barrier analysis.
  • Ensure analytics and AI work meets privacy, compliance, and governance standards while building data and AI literacy across commercial teams.

Requirements

  • 5+ years of experience in pharmaceutical or healthcare commercial analytics, marketing analytics, or data science, with a proven record supporting brand and marketing teams.
  • Strong expertise in machine learning and statistics applied to HCP targeting, segmentation, predictive modeling, and promotional impact measurement.
  • Deep knowledge of pharmaceutical commercial data, including claims, prescription and sales, CRM, and HCP- and patient-level data, as well as brand, launch, market access, and field-force commercial models.
  • Proficiency in Python, SQL, and/or R and analytics platforms such as Databricks or Dataiku.
  • Hands-on experience applying AI, including generative AI or LLM-based tools, to analytics workflows.
  • Ability to translate complex analyses into clear recommendations that influence senior leaders and align brand, Market Engagement, and cross-functional stakeholders.
  • People and/or matrix leadership experience, including cross-functional teams, global collaborators, and external partners.
  • Strong project management skills, resilience, adaptability, and the ability to balance strategic vision with operational execution.
  • Master's degree or PhD in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Engineering, Public Health, or a related quantitative discipline.
  • Required skills include Business Intelligence, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, and Waterfall Model.

Culture & Benefits

  • Hybrid work arrangement.
  • Medical, dental, vision, healthcare, and other insurance benefits for employees and families.
  • Retirement benefits including 401(k).
  • Paid holidays, vacation, compassionate leave, and sick days.
  • Inclusive workplace focused on diverse perspectives, respectful challenge, and collaborative problem-solving.

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