Director - R&D DDSAI - Therapeutics Development & Supply (TDS)

Scorpion Therapeutics; Spring House (PA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

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

Parental leave 480 hrs

Bereavement leave

Caregiver leave

Volunteer leave

Military spouse time-off

Job summary

Scorpion Therapeutics seeks a Director of Data, Data Science & AI (People Leader) to build and scale data engineering, semantic/ontology, and knowledge graph capabilities for Therapeutics Development & Supply. You will lead a 5+ person team and partner across R&D, DDSAI, and J&J IT to enable AI/ML initiatives.

The role requires an advanced degree and 10+ years in data platform development, plus 3+ years in people leadership.

Qualifications

• 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.

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.

Skills

Data engineering

Python

SQL

AWS/Snowflake

Graph databases

Semantic technologies

Knowledge graphs

Leadership

Cross-functional leadership

Data product strategy

Education

Advanced degree in CS/Data Science/Engineering

Tools

OWL/RDF/SKOS

FAIR principles

Job description

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