6 часов назад
Senior Manager, AI and Data Scientist (AI)
150 034 - 224 250$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, AI and Data Scientist (AI/ML and GenAI): Building and industrializing scalable AI, machine learning, and GenAI applications for pharmaceutical R&D, from prototypes to validated production systems, with an accent on drug development data, responsible AI, and regulatory compliance. Focus on designing RAG and agentic architectures, developing reusable data and AI engineering components, and overseeing model architecture, testing, validation, and deployment.
Location: Princeton, New Jersey, United States
Salary: $150,034–$224,250 per year, plus incentive opportunity.
Company
develops pharmaceutical solutions and applies data and AI across research and development and corporate functions.
What you will do
- Develop and deliver AI/ML and GenAI applications that generate insights, support decisions, and improve operational efficiency across R&D.
- Define product vision and roadmaps and manage the end-to-end lifecycle of AI products from rapid prototypes to qualified or validated production applications.
- Design scalable, secure, and reusable data, AI, and knowledge-engineering components for model training, validation, deployment, and production support.
- Build and guide RAG, agentic architecture, LLM, and other GenAI workflows for pharmaceutical R&D use cases.
- Oversee architecture, solution design, model development, testing, validation, and platform evolution with internal teams and vendors.
- Partner with R&D, IT, cloud architecture, legal, compliance, and executive stakeholders to translate scientific challenges into prioritized AI initiatives.
Requirements
- Master’s degree in data science, computer engineering, computer science, physics, statistics, information systems, or a related discipline; a PhD is preferred.
- Strong proficiency in SQL and Python or R, with experience in software or product engineering.
- Experience with data science platforms such as Dataiku Data Science Studio or AWS SageMaker.
- Experience architecting, building, and maintaining large-scale data and AI solutions in scientific, regulated, or research-heavy environments.
- Strong pharmaceutical, biotech, or life sciences R&D experience and hands-on experience deploying GenAI and LLM applications in production.
- Work is based in Princeton, New Jersey, United States.
Nice to have
- Deep expertise in real-world data assets and scientific evidence generation.
- Experience with AI and data governance, quality, FAIR data, and responsible AI practices.
- Experience with clinical, safety, textual, and other pharmaceutical R&D data.
Culture & Benefits
- Comprehensive medical, dental, vision, and prescription drug coverage.
- Company-provided life, accidental death and dismemberment, short-term disability, and long-term disability insurance.
- Tuition reimbursement and student loan assistance.
- Generous 401(k) match, flexible time off, paid holidays, and paid leave programs.
- Emphasis on innovation, continuous learning, accountability, respectful collaboration, and professional development.
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