Director of Scientific Data – Content Architecture

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🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

✍️ Content Marketing Manager

👻 Ghost score 15%

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L7 Informatics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $38M Series C - L7 Informatics on 2022-06

Consulting • Healthcare • Manufacturing

<L7 Informatics> L7 Informatics is a software company that provides a digital unified platform (L7|ESP) for life sciences organizations, integrating LIMS, ELN, MES, scheduling and other lab/manufacturing applications to eliminate data silos and create AI-ready, compliant data foundations. The company offers modular, ontology-driven SaaS solutions plus implementation, hosting, compliance support, and professional services to pharmaceutical, biotech, diagnostics, CDMO, academic research, and ag‑bio customers to streamline workflows, accelerate tech transfers, and enable AI/ML across R&D, development, and manufacturing.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Fully remote, virtual work environment • FTO (flexible time off) • Freedom and flexibility to have the lifestyle that works best for them • Continuous learning and development