Data Modeler

Role: Data Modeler

Location: Rahway NJ/WestPoint PA

Contract

Key Responsibilities:

• Develop and maintain conceptual and logical information models for scientific and business domains relevant to R&D and Development.
• Translate business scientific and operational requirements into clear information structures definitions and business rules.
• Support the definition and application of information architecture frameworks standards and best practices across relevant domains.
• Help ensure information assets are designed to be reusable scalable and aligned to business and scientific needs.
• Contribute to the creation and maintenance of data dictionaries glossaries naming standards controlled vocabularies and taxonomies.

Data Exploration and Assessment:

• Profile and analyze source data to understand quality completeness context and usability.
• Identify gaps inconsistencies missing metadata and alignment issues across data sources.
• Assess the fitness of source data for intended use cases and downstream consumption.
• Summarize findings from data exploration and recommend pragmatic remediation or standardization actions.
• Support root-cause analysis of data quality and information consistency issues.

Collaboration and Stakeholder Engagement:

• Partner with scientists subject matter experts business stakeholders and IT teams to understand workflows priorities and information needs.
• Work collaboratively with data engineers architects and platform teams to ensure models and standards are implementable.
• Facilitate workshops and review sessions to validate models standards and requirements.
• Communicate clearly with technical and non-technical audiences including documentation of models diagrams findings and recommendations.
• Act as a connector between scientific users and technical implementation teams.

Standards Governance and Enablement:

• Contribute to the development and maintenance of information quality rules and governance-aligned standards.
• Support documentation and stewardship of information architecture deliverables.
• Help enable reuse through clear definitions standards and supporting guidance.
• Promote consistent application of FAIR principles and GxP-aware practices where relevant.
• Identify opportunities to improve tooling methods and ways of working related to information architecture.

Required Experience and Skills:

• Strong scientific background preferably in Chemistry Biology or another scientific field related discipline
• Demonstrated advanced problem-solving and analytical skills.
• Experience working with or within IT teams in a collaborative environment.
• Strong communication skills with the ability to work effectively across scientific business and technical audiences.
• Proven ability to manage ambiguity think structurally and learn new methods quickly.
• Strong attention to detail and commitment to quality.
• Ability and willingness to learn information architecture data modeling metadata and data standards.