Software Engineer – Assay Data Processing

Project Overview We are looking for an experienced Software Engineer to join a team focused on assay and laboratory data processing. The project involves integrating, analyzing, and processing large experimental and laboratory datasets in a cloud environment. The team works closely with laboratory and data science stakeholders, with a strong focus on data quality, metadata management, and scalable system architecture. Key Responsibilities • Design and develop ETL data pipelines in Python for laboratory and experimental data. • Integrate with MedCon, Riffyn, or similar LIMS/ELN platforms. • Build and maintain AWS cloud environments. • Implement DevSecOps practices including CI/CD, security, and automation. • Collaborate with lab and data science teams to ensure data consistency and quality. • Participate in solution architecture design and technical documentation. Requirements • Strong programming experience in Python (APIs, ETL, testing). • Knowledge of MedCon, Riffyn, or other LIMS/ELN systems. • Practical experience with AWS cloud services. • Familiarity with DevSecOps tools (CI/CD, IaC, containers). • Experience in solution architecture design. • Understanding of laboratory data processing workflows and metadata management. Nice to Have • Experience in the life sciences or biotech industry. • Familiarity with data analysis tools such as pandas or numpy. • Relevant AWS or DevOps certifications. Project Environment • 100% remote work • International, collaborative team • Long-term engagement • High focus on quality, scalable cloud-based laboratory data solutions