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13 дней назад

Data Science Senior Director, Research Data Domain Lead

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
Data Science Senior Director, Research Data Domain Lead (Research Data, AI): Leading the Research Data Enablement Hub and executing a data strategy that creates governed, reusable, FAIR, and AI-ready research data products with an accent on scientific data fluency, enterprise alignment, and data governance. Focus on prioritizing data products, managing ownership and quality, resolving cross-domain decisions, and driving organizational adoption across a matrixed research organization.

Location: Thousand Oaks, California, United States

Company

hirify.global is a biotechnology company developing and delivering medicines for serious diseases across oncology, inflammation, general medicine, and rare disease.

What you will do

  • Lead the Research Data Enablement Hub and execute the Research Data Domain Strategy.
  • Define the research data vision, priorities, roadmap, and measurable outcomes.
  • Establish ownership, governance, usage rules, protection, quality, and lifecycle management for research data assets and products.
  • Drive FAIR data maturity, standards adoption, reusable data products, and AI-ready research data.
  • Partner with R&D Technology, Enterprise Data Strategy and Engineering, privacy, security, compliance, and business stakeholders.
  • Lead cross-subdomain decisions and organizational change through Subdomain Leads, Data Champions, and Data Stewards.

Requirements

  • Doctorate degree in a relevant field and 5 years of significant relevant experience; or a master’s degree and 9 years; or a bachelor’s degree and 11 years.
  • At least 5 years of direct people management or leadership experience directing teams, projects, programs, or resource allocation.
  • Scientific data fluency and the ability to translate research objectives into data priorities and measurable business value.
  • Experience with data governance, data ownership, data quality, standards, risk, privacy, security, and regulatory requirements.
  • Ability to build trusted relationships, make prioritization decisions, resolve complex cross-domain issues, and lead through organizational change.
  • Deep understanding of drug discovery, preclinical development, and at least one research data type such as genetics, biologics, small molecules, or assays.

Culture & Benefits

  • Collaborative, innovative, science-based, and inclusive work environment.
  • Health, dental, vision, life, disability, and flexible spending benefits.
  • Retirement and savings plan with company contributions.
  • Discretionary annual bonus and stock-based long-term incentives, subject to eligibility.
  • Paid time-off plans, work-life balance support, and career development opportunities.
  • Sponsorship for this role is not guaranteed.

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