Director of Scientific Data – Content Architecture

L7 Informatics · via Backpacker Job Board

🌎 Remote ⌛ Posted 2 days ago

Lead creation of foundational master data models and process data models across precision science verticals, initially focused on Pharmaceutical workflows
Design reusable data structures supporting distinct scientific procedures and R&D-to-manufacturing technology transfer
Align data models with ISA-88, ISA-95, and FAIR principles
Define and oversee L7's scientific content strategy and reusable modular content library
Structure data models, ontologies, and content to enable L7|SYNAPSE Agentic AI to automate configuration, data mapping, and workflow standardization
Advise senior leaders at strategic customers and align models with their operations and scientific goals
Represent L7's architecture as a thought leader in the market
Collaborate with product management, engineering, and delivery leadership to turn recurring field requirements into platform capabilities
Hire, manage, and develop a team of scientists and data developers
Support L7's quality management system by following the Quality Policy and SOPs and meeting QMS objectives
Deploy a standard Pharma data model and content library across new implementations
Shorten implementation timelines through reusable content
Enable SYNAPSE to configure customer workflows from standard models and ontologies

10+ years in scientific data architecture, laboratory or manufacturing informatics (LIMS, MES, ELN), or solutions consulting in the life sciences industry
Executive-facing advisory work
Strong knowledge of end-to-end Pharmaceutical processes
Proven experience implementing and mapping data architectures to ISA-88 and ISA-95
Working knowledge of laboratory data standards such as the Allotrope Framework (ASM/AFO)
Knowledge of GAMP 5, 21 CFR Part 11/EU Annex 11, ALCOA+, and ICH Q12/Q14
Hands-on experience applying LLMs or agentic AI to scientific data modeling, ontology development, or content generation
Familiarity with scientific ontologies including Allotrope Foundation Ontology, OBO Foundry ontologies such as OBI and ChEBI, and QUDT
Track record of designing scalable, reusable data models, workflows, or content libraries
Proven experience building and managing teams combining scientific domain experts and software developers
Master's or Ph.D. in a relevant discipline, or equivalent experience
Knowledge of L4 enterprise systems, L3 LIMS/MES/scheduling, and L2 automation
Familiarity with SiLA 2, OPC UA LADS, ISO IDMP, LOINC/HL7 FHIR, and GS1 is a differentiator
Participation in Allotrope, Pistoia Alliance, or BioPhorum consortia is a plus
Experience delivering strong results with focused resources in a fast-growing company