Automation Engineer (Cheminformatics)

We have 30 years of expertise in designing and building custom software systems. We provide software development services focusing on complex high-load applications, AI and BI solutions, and mobile apps.

Automating the design of chemical compounds has the potential to significantly accelerate the discovery and development of new medicines. This emerging field brings together artificial intelligence, machine learning, and established computational technologies to transform how drug discovery is approached.

We are looking for an Automation Engineer to join our team and drive the development and management of scientific workflows for drug design and discovery. In this role, you will help bridge the gap between computational science and automated processes, enabling more efficient, scalable, and reproducible research workflows.

Core Responsibilities

• Design and develop automated workflows using Apache Airflow and Python to orchestrate complex scientific and computational processes.

• Build and maintain reliable execution environments using Docker, ensuring consistent, reproducible, and scalable workflow execution.

• Integrate scientific tools, data sources, and external services through APIs and data pipelines, enabling seamless communication between different components of the research platform.

• Improve workflow reliability and scalability by monitoring execution, troubleshooting failures, optimizing processes, and collaborating with AI and scientific teams to support the development of automated drug discovery solutions.

Required Experience

• Strong Python skills and hands-on experience developing automation tools, scripts, or backend components.

• Practical experience with Apache Airflow , including building, scheduling, and maintaining workflows or DAGs.

• Experience with Docker and containerized application environments.

• Understanding of software engineering best practices, including code quality, debugging, version control, and writing…