1 день назад
Director - R&D DDSAI - Therapeutics Development & Supply (TDS) (AI)
164 000 - 282 900$
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Описание вакансии
Текст:
TL;DR
Director - R&D DDSAI - Therapeutics Development & Supply (TDS) (AI) (Data Engineering, Data Science & AI): Building governed, AI-ready data products, scalable data pipelines, semantic layers, ontologies, and knowledge graphs for pharmaceutical R&D with an accent on regulated data quality, lineage, and reusable data architecture. Focus on leading data product engineers, ontology developers, and data scientists while scaling cloud platforms and AI/ML foundations across Therapeutics Development and Supply.
Location: Spring House, Pennsylvania, United States of America
Base pay: $164,000–$282,900 per year
Company
Johnson & Johnson Innovative Medicine develops pharmaceutical treatments across oncology, immunology, neuroscience, cardiopulmonary care, and specialty ophthalmology.
What you will do
- Lead the TDS data product strategy and build a multi-year roadmap supporting AI, machine learning, and generative AI priorities.
- Design, build, and optimize scalable data product pipelines and platforms integrating ELN, MES, LIMS, SAP, quality, and clinical supply data.
- Develop semantic layers, ontologies, controlled vocabularies, reference data, and knowledge graphs aligned with enterprise models.
- Establish data quality, lineage, governance, data integrity, and model validation practices for regulated environments.
- Recruit, develop, and lead a team of data product engineers, ontology developers, and data scientists.
- Partner with R&D, DDSAI, IT, and senior technical and business stakeholders on architecture and delivery.
Requirements
- Advanced degree in Computer Science, Data Science, Engineering, or a related quantitative field.
- 10+ years of experience in data engineering, data architecture, or data science platform development, including 3+ years in people leadership.
- Deep expertise in cloud architectures, AWS, Snowflake, Python, SQL, graph databases, semantic technologies, and knowledge graphs.
- Experience building and scaling teams that deliver enterprise-grade data products.
- Strong cross-functional leadership and stakeholder influence at Senior Director and VP levels.
- Experience in pharmaceutical R&D, life sciences manufacturing, GxP, ontology engineering, FAIR data, or MLOps is advantageous.
Culture & Benefits
- Inclusive work environment focused on health innovation and employee dignity.
- Eligibility for pension, savings, and 401(k) plans.
- Long-term incentive program eligibility.
- Vacation, sick time, holidays, personal and family time, parental, bereavement, caregiver, volunteer, and military spouse leave.
- Inclusive interview accommodations are available for applicants with disabilities.
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