11 часов назад
Senior Director, AI & Data Science Solutions (AI)
230 720 - 345 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, AI & Data Science Solutions (AI/R&D): Defining and executing AI, Generative AI, and data science solutions across the pharmaceutical R&D value chain with an accent on clinical development, real-world data, scalable architecture, and regulatory compliance. Focus on deploying LLM applications, scaling model lifecycle operations, translating scientific challenges into production solutions, and leading multidisciplinary AI and data science teams.
Location: Remote within the United States
Salary: $230,720–$345,000 annually, plus incentive opportunity.
Company
is a pharmaceutical organization developing and applying data, AI, and scientific solutions across research and development.
What you will do
- Define the AI, Generative AI, and data science strategy and roadmap across the R&D value chain.
- Lead the design, development, and deployment of scalable AI solutions for clinical, operational, real-world, sensor, imaging, and omics data.
- Oversee AI and Gen AI use cases from ideation through production, monitoring, retraining, and lifecycle management.
- Establish responsible AI, observability, governance, auditability, and data quality practices in a regulated pharmaceutical environment.
- Translate complex scientific challenges into executable data and AI initiatives and advise senior R&D leadership.
- Manage the portfolio budget, resources, vendors, timelines, and a multidisciplinary team of AI and data science professionals.
Requirements
- 12+ years of progressive leadership experience in data science, AI/ML, and Generative AI, including 5+ years in senior technical leadership or management.
- Experience architecting, building, and maintaining large-scale data and AI solutions in scientific, regulated, or research-heavy environments.
- Strong understanding of pharmaceutical, biotech, or life sciences R&D and applications of AI and machine learning in pharma.
- Production experience deploying Generative AI and large language model applications.
- Expertise in real-world data, data science, machine learning, AI solution architecture, and model lifecycle practices.
- Master’s degree in computer science, mathematics, engineering, physics, statistics, or a related scientific discipline; a PhD is strongly preferred.
Nice to have
- Deep pharmaceutical R&D experience and knowledge of clinical development workflows.
- PhD in a relevant mathematical, engineering, or scientific discipline.
Culture & Benefits
- Remote work within the United States.
- Medical, dental, vision, prescription drug, life, disability, and paid leave programs.
- Generous 401(k) match, tuition reimbursement, and student loan assistance.
- Collaboration across R&D, data science, AI engineering, IT, legal, compliance, and external partners.
- Focus on innovation, continuous learning, accountability, respectful collaboration, and professional development.
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