- Lead Integration Development: Lead the design, development, and implementation of complex integrations between systems using technologies like Python, RestAPI, Java, and other programming language . These integrations are managed and deployed on the AWS platform.
- Strategic Collaboration: Directly collaborate with IT and scientific stakeholders to identify integration needs and develop strategic solutions that enhance laboratory workflows.
- Drive Workflow Automation: Oversee the utilization of APIs and scripting languages to automate data exchanges, ensuring efficient workflow processes.
- Ensure Data Integrity and Security: Lead efforts to uphold high standards of data integrity and security.
- System Oversight and Issue Resolution: Supervise system monitoring and troubleshooting to minimize disruptions, bringing to bear tools like RabbitMQ.
- Documentation and Standard Methodologies: Lead the creation and maintenance of comprehensive documentation and standard methodologies, ensuring consistent knowledge sharing across the team.
Essential Skills/Experience
- Bachelor s degree in computer science, Information Systems, or a related field.
- Extensive experience with system integration in a scientific or laboratory environment.
- Proven proficiency in Python, Java, RestAPI, and familiarity with RabbitMQ and Mulesoft.
- Demonstrated familiarity with cloud platforms, particularly AWS or Azure.
- Excellent leadership, problem-solving, and communication skills.
- Excellent written and verbal communication skills in English.
Desirable Skills/Experience
- Solid understanding and experience with GxP systems and compliance is advantageous but not essential.
