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Director - R&D DDSAI - Therapeutics Development & Supply; TDS

Job in Spring House, Montgomery County, Pennsylvania, 19477, USA
Listing for: Scorpion Therapeutics
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

Position Summary:

Director, Data, Data Science & AI (People Leader) for Therapeutics Development & Supply (TDS). Lead building/scaling of data engineering, semantic/ontology, and knowledge graph capabilities that underpin AI/ML and analytics across TDS. Manage a team of 5+ and partner cross-functionally across R&D, DDSAI, and J&J IT.

Key Responsibilities:
  • Define and execute TDS Data Product strategy; build multi-year roadmap enabling AI/ML and GenAI priorities.
  • Deliver high-quality, AI-ready, governed, reusable data products for TDS projects and foundational analytics.
  • Design/build/optimize scalable data pipelines integrating ELNs, MES, LIMS, SAP, quality systems, and clinical supply data.
  • Implement data quality standards, lineage, and governance aligned to enterprise and GxP requirements.
  • Ensure data integrity, data model validation, computerized system compliance, and model interpretability.
  • Lead TDS semantic layer strategy (ontologies, reference data, controlled vocabularies, knowledge graphs) aligned to enterprise canonical models.
  • Recruit, develop, and lead data product engineers, ontology developers, and data scientists.
Qualifications:

Required:
  • Advanced degree in CS/Data Science/Engineering (or related quantitative field).
  • 10+ years in data engineering/architecture/science platform development; 3+ years in people leadership.
  • Expertise in AWS/Snowflake, Python, SQL, graph databases, semantic technologies/knowledge graphs.
  • Proven delivery/scaling of enterprise-grade data products.
  • Strong cross-functional leadership influencing Senior Director/VP stakeholders.
Preferred:
  • Pharma R&D, life sciences manufacturing, or GxP experience.
  • Ontology engineering (OWL/RDF/SKOS), knowledge graphs, FAIR principles.
  • MLOps (model registries, feature stores, automated retraining pipelines).
  • Partnered with IT/data platform teams on architecture decisions.
Benefits (time off):
  • Vacation 120 hrs/yr
  • Sick 40 hrs/yr (CO 48; WA 56)
  • Holiday pay 13 days/yr
  • Work/Personal/Family time up to 40 hrs/yr
  • Parental leave 480 hrs
  • Bereavement leave
  • Caregiver leave
  • Volunteer leave
  • Military spouse time-off
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