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12 дней назад

Executive Director, Clinical Data & Digital Strategy (AI)

272 000 - 344 000$
Формат работы
onsite
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
Executive Director, Clinical Data & Digital Strategy (AI): Leading clinical data and digital strategy across Development Sciences, including data standards, scientific platforms, metadata capabilities, knowledge systems, and AI-ready data assets with an accent on scalable architecture, semantic interoperability, and FDA GxP compliance. Focus on defining digital roadmaps, enabling machine learning and generative AI through modern data architecture, and managing multidisciplinary teams supporting clinical research.

Location: Alameda, CA; office-based working conditions with occasional travel of approximately 5%

Base salary: $272,000–$344,000 per year, plus discretionary annual bonus and long-term incentives

Company

hirify.global is a biotechnology and pharmaceutical company developing medicines and clinical development capabilities.

What you will do

  • Lead the clinical data and digital strategy function in Development Sciences and manage managers, analysts, employees, and contractors.
  • Establish standards and architectural principles for data modeling, metadata management, semantic interoperability, ontology governance, and FAIR data implementation.
  • Define the future-state digital ecosystem, product vision, roadmaps, investment priorities, business cases, and tradeoff decisions.
  • Develop roadmaps for scientific data platforms, metadata capabilities, knowledge systems, and AI-ready data assets.
  • Partner with IT, Quality, Programming, Governance, biostatistics, and clinical data management teams on scalable, compliant data standards and digital solutions.
  • Set goals, assess performance, mentor staff, define training curricula, and establish programming procedures, guidelines, and policies.

Requirements

  • BS/BA degree with at least 18 years of related experience, MS/MA degree with at least 16 years, PhD with at least 15 years, or an equivalent combination of education and experience.
  • Experience in the biotech or pharmaceutical industry.
  • Expertise with Databricks, Spark, Delta Lake, vector databases, and cloud-native data platforms.
  • Experience writing code in R and Python.
  • Experience recruiting, hiring, and supervising analysts.
  • Experience authoring SOPs and work instructions.
  • Good managerial, organizational, written communication, and verbal communication skills.
  • Knowledge of FDA regulations, industry standards, guidance documents, FDA GxP compliance, and qualification requirements.
  • Understanding of clinical research processes, trial designs, protocols, and analysis plans, with proficiency in data strategy, data lakes, semantic layers, and analytics platforms.

Nice to have

  • Experience in oncology and Phase I–III studies.
  • Experience enabling machine learning, generative AI, retrieval architecture, and agentic systems through modern data architecture.

Culture & Benefits

  • Collaborative office environment focused on technical excellence, innovation, scientific partnership, and shared problem-solving.
  • Company-provided equipment, including dual monitors and ergonomic chairs.
  • 401(k) plan with company contributions, medical, dental, and vision coverage, life and disability insurance, and flexible spending accounts.
  • 15 accrued vacation days in the first year, 17 paid holidays including a company-wide winter shutdown, and up to 10 sick days annually.
  • Eligibility for stock purchase opportunities, long-term incentives, and a discretionary annual bonus program.

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