Overview: EDDC is the national platform for drug discovery, committed to work with the Singapore ecosystem to translate scientific discoveries into life-changing therapeutics for patients. We leverage state-of-the-art computational and machine learning approaches to uncover insights from large-scale and multidimensional data sources, and to tackle complex and unmet medical challenges in disease areas such as oncology, inflammatory and autoimmune diseases.

We are seeking a motivated Laboratory Automation/Integration Engineer to join us and play a key role in developing and deploying robust, cost-effective automation and integration solutions within a dynamic research environment. Situated in the Computational Sciences team, this role bridges software development, laboratory informatics, and scientific workflows, collaborating closely with wet-lab scientists and computational experts to streamline laboratory operations and enhance research efficiency.

Key Responsibilities

• Evaluate, propose, and implement cost-effective automation and integration solutions that connect laboratory informatics systems, automated storage platforms, and robotic liquid-handling equipment.
• Develop custom scripts and API-based integrations to automate laboratory workflows, including sample management, compound inventory management, and assay preparation.
• Engage closely with wet-lab scientists and computational scientists/engineers to clearly understand, interpret, and translate laboratory workflows and experimental needs into effective automated solutions.
• Provide technical leadership in diagnosing, troubleshooting, and resolving integration issues, ensuring robust data flow and system reliability.
• Maintain comprehensive documentation and standard operating procedures (SOPs) for integration workflows, clearly communicating technical details to scientific users and computational staff.
• Leverage modern AI-driven coding tools to streamline development, enhance accuracy, and accelerate delivery of integration projects.

Requirements:

• Bachelor's or Master's degree in Computer Science, Bioinformatics, Automation Engineering, Chemistry, Biology, or related disciplines.
• At least 2-3 years of experience in laboratory automation, software integration, or related engineering roles.
• Demonstrable proficiency in scripting languages (Python, SQL), API development, and RESTful integrations.
• Effective communication skills with proven ability to collaborate successfully with interdisciplinary teams, including wet-lab scientists, computational scientists, and engineers.
• Experience with laboratory informatics platforms, automated storage hardware, and robotic liquid handling equipment.
• Preferred: Familiarity with open-source automation platforms (e.g., KNIME, Apache Airflow, SiLA2) and knowledge of commercial middleware solutions.
• Preferred: Previous experience designing and implementing complex laboratory automation workflows without relying on commercial middleware.