Data Engineer- Scientific Informatics

Job Description: Data Engineer – Dotmatics LUMA & Biologics Data Pipelines (US) Position Summary • We are seeking an experienced Data Engineer to support scientific informatics, biologics R&D workflows, and data operations centred around Dotmatics LUMA and related laboratory informatics systems. This role focuses on building and maintaining high-quality data pipelines that connect scientific applications, laboratory systems, and enterprise data platforms. Key Responsibilities • Design, build, and maintain data pipelines across Dotmatics LUMA, Genedata Biologics, and other scientific data systems. • Ensure reliable, traceable, and high-quality data flows supporting antibody research, biologics workflows, lab operations, and analytics. • Work closely with antibody engineers, lab technicians, scientific users, and IT system leads to translate workflows into scalable engineering solutions. • Support integration projects and data migration activities involving Genedata Biologics (GDB) and LUMA. • Define data models, interoperability requirements, and workflow-aligned data transformations. • Engage in ongoing technical discussions with internal and external stakeholders, including scientific informatics partners. Required Skills & Experience – Must-Have • Strong, hands-on data engineering expertise: pipeline creation, data modelling, ETL/ELT, integration engineering. • Proven ability to collaborate with scientific users and technical teams to gather requirements and deliver data solutions. Required Skills & Experience – Nice to Have • Experience with Dotmatics LUMA. • Exposure to Genedata Biologics (GDB) or biologics/antibody workflow data. • Scientific or laboratory informatics background, especially within biologics R&D. • Familiarity with platforms such as Lab Connect or similar scientific informatics tools.