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.

·       This is a US-based position (mandatory) due to required collaboration and working-hour overlap with scientific, IT, and programme leadership teams.

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.

·       Must be based in the United States to ensure required timezone overlap.

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.