Data Modeler

Job Role: Data Modeler Location: Rahway, NJ/WestPoint, PA / Onsite Contract : Long term Pay Rate: $60/hr on W2 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.