Software Developer (Automation And Integration), Eddc

Software Developer (Automation and Integration), EDDC

Agency for Science, Technology and Research – Queenstown

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 skilled Software Developer to join the computational sciences team to contribute significantly to building an organizational-wide ML / AI-ready data foundation, focusing on laboratory automation, integration solutions, and software development.

The role involves close collaboration with wet-lab scientists, computational scientists / engineers, and IT teams to design, develop, and implement cost-effective, robust solutions utilizing a combination of commercial software and in-house development.

Leveraging modern tech stacks and APIs, this position will facilitate seamless laboratory operations and data management in a multi-disciplinary environment with both biological and chemical data.

Key Responsibilities

Application Development and Integration

Develop and maintain software solutions to integrate laboratory informatics systems with automated hardware systems and robotic laboratory equipment.

Automate workflows related to sample management, inventory tracking, assay preparation, and data analytics.

Collaborate with scientists and engineers to understand requirements and translate them into efficient software solutions.

Assess existing systems, recommending and implementing modernization strategies that improve functionality, scalability, and ease of maintenance.

Utilize modern software frameworks, cloud-based technologies, and AI-driven coding tools, if relevant, to streamline system modernization.

Data Integration and Automation

Develop API-driven integrations and automated workflows connecting laboratory software, hardware, and internal / external databases.

Ensure robust, real-time synchronization of data across various laboratory systems.

Develop APIs and integration layers to connect applications across different systems (e.g., chemical structure databases, property databases, and regulatory systems).

Collaborate with computational scientists and data engineers to design and implement an organizational-wide ML-ready data foundation.

Develop tools and pipelines to ensure data is clean, well-structured, and accessible for machine learning and analytics.

Integrate data from diverse sources (e.g., compound registration, inventory tracking, laboratory systems, and external databases) into a unified data infrastructure.

Communication and Collaboration

Work closely with wet-lab scientists, computational scientists, data engineers, and IT team to clearly identify requirements and collaboratively develop solutions.

Provide technical documentation, training, and support to users and stakeholders.

Work closely with cross-functional colleagues and data engineer to ensure applications are compatible with the organization's data infrastructure and Single Source of Truth (SSOT) initiatives.

Required Skills / Qualifications

Bachelor's or Master's degree in Computer Science, Software Engineering, Automation Engineering, Bioinformatics or a related field.

2-3 years of experience in software development, scripting, or automation-focused roles.

Strong proficiency in programming / scripting languages (e.g., Python, Java, SQL, etc.) and experience with RESTful API integration.

Experience in laboratory automation systems and developing integrations involving biological or chemical informatics.

Experience with legacy system modernization and cloud-based solutions.

Strong problem-solving skills and ability to work in a multidisciplinary environment.

Excellent communication and teamwork skills, capable of bridging computational and laboratory teams.

Preferred Skills / Qualifications

Familiarity with open-source integration platforms and workflow management tools (e.g., KNIME, Apache Airflow, SiLA2).

Experience using AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to enhance productivity and streamline development workflows.

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