Assoc. Dir , Information Architecture

Position Overview

We are seeking a highly skilled Senior Information Architect to lead the design, organization, and standardization of scientific data spanning across pre-clinical discovery and manufacturing process and method development. In this critical role, you will be responsible for working with scientists and scientific leaders to understand information needs of biopharma innovation and help define information architectural constructs (Ontologies and data models), controls and processes to improve quality and context of data in support of innovation. You will partner closely with R&D scientists, process engineers, and IT teams to harmonize complex biological, chemical, and operational data—from raw scientific outputs to GxP-compliant manufacturing data lakes.

Responsibilities

• Work with stakeholders to understand their key outcome needs and Insights from data that can support these outcomes
• Embed in product teams enabling capture and consumption of scientific data, to help define/adopt ontologies and data models that support capture and consumption of data in service of these research outcomes
• Working as a part of data capture product team, be a voice of activation for, and help define standards and controls for data and metadata to improve quality and context of data at capture
• Lead the adoption and integration of industry-standard ontologies (such as BioAssay Ontology (BAO) and others) to contextualize scientific datasets (e.g., Raman spectra raw data, assay results) and manufacturing process parameters
• Develop and maintain best practices for capturing current state of information capture and consumption for entities relavent to research processes to help improve investment in data

Qualifications & Experience

• Bachelor’s or Master’s degree in Life Sciences, Computer Science, Bioinformatics, Information Science, or a related field
• 5+ years of experience as an Information Architect or similar role within the Biopharmaceutical or Life Sciences industry
• Proven, hands-on experience working with industry-standard scientific ontologies, semantic web technologies (RDF, OWL, SPARQL), and knowledge graphs
• Hands on experience working with stakeholders to understand data needs in support of insights and defining data models to deliver reusable data products for a spectrum of needs
• Deep understanding of pre-clinical discovery workflows and manufacturing process/method development
• Strong familiarity with dominant lab data capture solutions (LIMS, ELN, CDS, and lab endpoint software)
• Experience with industrial time-series data and contextualization tools (e.g., OSIsoft PI)
• Hands on experience with data modeling tools
• Hands on experience with ontology management tools such as CENTree
• Excellent analytical, problem-solving, and communication skills, with the ability to bridge the gap between scientific stakeholders and technical engineering teams

Required Skills

• Business Enterprise Architecture (BEA)
• Business Process Modeling
• Data Management
• Data Modeling
• Data Science
• Requirements Management
• Stakeholder Relationship Management
• Strategic Planning
• System Designs
• Technical Advice

Benefits

• Competitive salary and comprehensive benefits package (including top-tier savings and pension plans)
• Opportunities to work on cutting-edge data architecture and AI-driven initiatives in biopharma
• A collaborative environment dedicated to accelerating life-saving therapies

Pay

The salary range for this role is $142,400.00 - $224,100.00. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.