Executive Director, Digital Product Management - Research (AI)
Контакты
249 042 - 336 940$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
aidata platformsdrug discoveryresearch informaticslimsdigital product managementscientific dataelectronic lab notebookslaboratory technology
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$249к-337к/год
$220к$230кмедиана$270к
По похожим ролям (49) ~ $230к/год
91
Крутая вакансия
развернуть
Стратегическая руководящая роль в крупной биотех-компании с четкой ответственностью за технологии, данные и ИИ в исследованиях; масштаб широкий, но связан с задачами разработки лекарств.
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Широкая зона ответственностиВклад в разработку лекарствВлияние на стратегиюСильный пакет льгот
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Executive Director, Digital Product Management - Research (AI): Leading the technology, data, and AI agenda for pharmaceutical research, including laboratory systems, scientific workflows, and reusable data products with an accent on drug discovery, data quality, and scientific decision-making. Focus on setting multi-year strategy, directing enterprise-scale investments, and building reliable platforms that accelerate experimentation and improve research outcomes.
Location: Remote, United States; role location listed as US - California - South San Francisco
Annual salary: $249,042–$336,940 USD, excluding Puerto Rico; actual salary varies by skills, experience, and qualifications
Company
hirify.global is a biotechnology company researching, manufacturing, and delivering medicines for serious illnesses.
What you will do
Set and evolve the multi-year Research Technology, Data & AI strategy, linking investments to scientific priorities, portfolio impact, and measurable outcomes.
Advise the Research Leadership Team on portfolio choices, operating plans, capital decisions, risk, and technology investment priorities.
Own the Research technology environment, including benchtop and instrument-adjacent technology, electronic lab notebooks, LIMS, scientific workflows, and data products.
Modernize scientific data workflows from source capture through analysis, reuse, and decision-making, with strong data quality, metadata, terminology, and governance.
Build and lead a high-performing organization across research informatics, laboratory technology, digital products, and scientific data enablement.
Partner with scientific, Technology, AI & Data, and external stakeholders to resolve dependencies, manage trade-offs, and communicate recommendations to executive audiences.
Requirements
Doctorate degree and 6 years of technology experience, or Master’s degree and 10 years of technology experience, or Bachelor’s degree and 12 years of technology experience.
At least 6 years of managerial experience directly managing people and/or leading teams, projects, programs, or resource allocation.
Ability to set outcomes, OKRs, and value measures while managing prioritization, platform rationalization, build-versus-buy decisions, technical debt, risk, cost, and organizational capacity.
Ability to deliver reliable, scalable scientific products and improve end-to-end scientist user experiences.
Ability to build partnerships, resolve cross-functional dependencies and consequential trade-offs, and influence senior executives without relying solely on formal authority.
Strong executive communication and storytelling skills for translating complex scientific, technical, and investment choices into recommendations and action.
Nice to have
5+ years of progressive leadership experience, including direct leadership of senior leaders and/or responsibility for a substantial multidisciplinary organization.
Experience leading technology, data, digital, informatics, or computational capabilities in a research-intensive life sciences environment.
Scientific credibility and experience building trust with scientists across small molecules, biologics, DNA-encoded libraries, antibody-drug conjugates, disease biology, or translational science.
Experience setting multi-year strategy and leading enterprise-scale changes across laboratory technology, scientific software, data platforms, scientific workflows, or research informatics.
Experience creating and scaling scientific data products, FAIR data practices, metadata and terminology capabilities, and integrated data-to-insight workflows.
Judgment across cloud platforms, architecture, laboratory systems, data engineering, analytics, and vendor ecosystems.
Experience in biotechnology, pharmaceutical research, or another highly regulated, technology-intensive environment.
Culture & Benefits
Collaborative, innovative, science-based, and inclusive work environment.
Health and welfare benefits, including medical, dental, vision, life, disability, and flexible spending accounts.
Retirement and savings plan with company contributions, stock-based long-term incentives, and an annual discretionary bonus program.
Paid time-off plans and biannual company-wide shutdowns.
Career development opportunities and flexible work models where applicable.
Reasonable accommodations are available for applicants and employees with disabilities.
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