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Associate Engineering Fellow -Process Knowledge & Data Architecture

Cambridge, MA💼 Full-time🗓 2026-07-23 → 2026-09-26

Core

Lead the design and implementation of a scalable, integrated data and knowledge architecture to support synthetic molecule process development, transforming fragmented experimental and manufacturing data into structured, reusable knowledge assets for model-informed development and AI-driven workflows.

Role type

Associate Engineering Fellow (Process Knowledge & Data Architecture)

Builds

Unified process knowledge layer, integrated data architectures, scalable data pipelines, digital twin frameworks, and data governance systems for pharmaceutical R&D and manufacturing.

Domain

Pharmaceutical R&D / Synthetic Molecule Process Development / Data Engineering

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

Data architecture, data modeling, data integration, cloud-based architecture (AWS/Azure), data governance, metadata management, FAIR data principles, ELN/LIMS/MES integration, pharmaceutical process development workflows, CMC/cGMP considerations, cross-functional stakeholder influence, technical writing.

Preferred skills

Ontologies, knowledge graphs, semantic data models, digital twins, advanced process control, hybrid modeling, enterprise data initiatives, regulatory data integrity (ALCOA+).

Technologies

AWS, Azure, ELN, LIMS, PAT, MES, APIs, data lakes, cloud environments.

Responsibilities

Design and govern structured reaction, process, vessel, and material databases; architect connected data systems linking chemistry, process parameters, and analytical results; build scalable data pipelines for mechanistic modeling and AI/ML; define metadata models, ontologies, and FAIR data standards; establish data governance frameworks for quality and compliance; integrate disparate data sources to create a single source of truth; partner with Process Development, Modeling, and Engineering teams; translate process needs into data architecture requirements; develop data visualization and reporting capabilities; lead technology implementation of digital platforms; define digital twin architecture and governance; champion data culture and capability building; lead external benchmarking and best practices; author regulatory documents and peer-reviewed manuscripts.

Seniority

Senior, hands-on IC with strategic influence

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