Customize and configure Benchling ELN system to optimize workflows for laboratory scientists and support evolving research needs
Design, develop, and deploy custom Python-based applications including web applications, data ingestion pipelines, and other applications for functions not natively supported by the ELN
Build and maintain integrations between Benchling and other internal custom-built applications to create a cohesive laboratory technology ecosystem
Deploy and manage custom tools and applications in our AWS cloud environment, ensuring reliability, security, and scalability
Collaborate closely with laboratory scientists and research teams to understand workflow requirements and translate them into effective technical solutions
Provide technical support and training to laboratory users on ELN functionality and custom applications
Document system configurations, custom applications, and integration workflows
Stay current with Benchling platform updates and new features, evaluating and implementing relevant enhancements
Participate in agile development practices and contribute to continuous improvement of laboratory systems

Bachelor’s degree in computer science, biological sciences, or related field
Minimum 2 years of professional software development experience
Strong proficiency in Python programming and application development
Experience with laboratory automation systems and scientific software platforms
Experience with cloud-based infrastructure, particularly AWS (EC2, S3, Lambda, RDS, etc.)
Understanding of laboratory workflows and scientific research environments
Strong problem-solving skills and ability to translate scientific requirements into technical solutions
Excellent communication skills with ability to work effectively with both technical and scientific teams
Self-motivated with ability to work independently and manage multiple priorities

Borealis Biosciences, Inc.

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