2 дня назад
Target Validation Sr Director (AI/ML)
265 405 - 312 459$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Target Validation Sr Director (AI/ML): Leading Amgen’s Target Validation Unit within Research Biology and developing a multidisciplinary organization that applies experimental and computational science to target discovery across therapeutic areas with an accent on molecular insight, automated workflows, and AI/ML integration. Focus on integrating omics platforms and biological research approaches, prioritizing resources and capacity, and guiding target validation and prioritization.
Location: Corporate Headquarters in Thousand Oaks, California, United States; conditions listed in South San Francisco, California.
Annual base salary: $265,405–$312,459.
Company
is a biotechnology company developing and delivering medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.
What you will do
- Lead and develop a multidisciplinary organization of approximately 25 scientists within Research Biology.
- Integrate experimental disciplines and workflows to deliver molecular insights for target discovery.
- Set platform priorities, resource allocation, and capacity planning aligned with Research Biology and therapeutic-area priorities.
- Drive automated experimental workflows and integrate AI/ML capabilities into research programs.
- Serve as a senior scientific partner to Target Discovery and therapeutic-area stakeholders.
- Guide target discovery, validation, prioritization, and communication of complex scientific and data-driven insights.
Requirements
- PhD in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism, or a related discipline, plus 7 years of scientific leadership experience; or a master’s degree plus 10 years; or a bachelor’s degree plus 12 years.
- Experience in biotech, pharmaceutical, or equivalent research environments.
- Experience leading mechanistic discovery research programs and omics platforms.
- Experience integrating experimental science with enterprise data, analytics, or AI/ML capabilities.
- Experience applying genetics, genomics, transcriptomics, proteomics, structural, and AI/ML approaches to biological research.
- Strong scientific communication, mentorship, team-building, and talent-development skills.
Nice to have
- Scientific impact demonstrated through publications in top-tier journals, patents, and program advancement.
- Experience managing budgets and capital investments.
- Recognized scientific excellence and productivity in discovery research.
Culture & Benefits
- Collaborative, innovative, and science-based research 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.
- Award-winning time-off plans and career development opportunities.
- Flexible work models where applicable to the role.
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