Director of Scientific Data – Content Architecture

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the development of foundational master data models and process data models across precision science sectors, initially targeting Pharmaceutical workflows.

• Create reusable data structures that support various scientific procedures and facilitate R&D-to-manufacturing technology transfer.

• Ensure data models are in line with ISA-88, ISA-95, and FAIR principles.

• Define and guide L7's scientific content strategy along with a reusable modular content library.

• Organize data models, ontologies, and content to empower L7|SYNAPSE Agentic AI to automate configuration, data mapping, and standardization of workflows.

• Provide strategic advice to senior leaders at key customer organizations and align models with their operational and scientific aims.

• Act as a thought leader representing L7's architecture in the market.

• Collaborate with product management, engineering, and delivery leadership to translate recurring field requirements into platform capabilities.

• Recruit, manage, and cultivate a team of scientists and data developers.

• Uphold L7's quality management system by adhering to the Quality Policy and SOPs while meeting QMS objectives.

• Implement a standard Pharma data model and content library across new installations.

• Accelerate implementation timelines through the use of reusable content.

• Enable SYNAPSE to configure customer workflows based on standard models and ontologies.

⛳️ Requirements

• 10+ years of experience in scientific data architecture, laboratory or manufacturing informatics (LIMS, MES, ELN), or solutions consulting within the life sciences sector.

• Experience in executive-facing advisory roles.

• Comprehensive understanding of end-to-end Pharmaceutical processes.

• Demonstrated experience in implementing and mapping data architectures to ISA-88 and ISA-95 standards.

• Familiarity with 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.

• Practical experience with applying LLMs or agentic AI to scientific data modeling, ontology development, or content generation.

• Acquainted with scientific ontologies including the Allotrope Foundation Ontology, OBO Foundry ontologies like OBI and ChEBI, and QUDT.

• Proven history of designing scalable, reusable data models, workflows, or content libraries.

• Established experience in building and managing teams that comprise scientific domain experts and software developers.

• Master's or Ph.D. in a relevant field, or equivalent professional 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 advantageous.

• Participation in Allotrope, Pistoia Alliance, or BioPhorum consortia is beneficial.

• Success in delivering strong results with focused resources in a rapidly growing organization.

🏝️ Benefits

• Fully remote, virtual work environment.

• Flexible time off (FTO).

• Freedom and flexibility to create a lifestyle that suits them best.

• Opportunities for continuous learning and development.