This role builds scalable data and software platforms that support drug discovery research, integrating data pipelines, AI/ML models and molecular design workflows. Tasks Design and build interactive tools for small and large molecule drug discovery workflows Build and enhance a scalable ecosystem of applications and tools for scientific data Design complex, user-friendly data applications and pipelines across scientific domains Apply microservices and event-driven architecture to improve data workflows Integrate diverse data sets to power AI, ML and natural language search capabilities Collaborate with computational and research scientists to translate challenges into solutions Provide technical leadership and mentor junior developers Profile PhD or 8-10+ years of experience in life science building full-stack software solutions Strong software engineering expertise in backend (Python, Java) and frontend (React, Vue) Deep experience with data engineering, databases (SQL/NoSQL), ETL/ELT and APIs (REST, GraphQL) Experience deploying applications on cloud-native architectures, preferably AWS Experience setting up SDLC best practices including versioning, testing, CI/CD Ability to architect scalable solutions in complex, multi-system environments Outstanding communication skills to articulate technical concepts to diverse audiences Company Pharmaceutical research
Principal Software Engineer – Data & AI Platforms for Drug Discovery Arbeitgeber: avec compétence GmbH
Die avec compétence GmbH bietet ein dynamisches Arbeitsumfeld, das Innovation und Zusammenarbeit fördert. Mitarbeiter profitieren von Mentoring-Programmen und der Möglichkeit, an spannenden Projekten in den Bereichen Luft- und Raumfahrt sowie Pharmazie zu arbeiten.
