Automation Service Engineer I/II, Oncology

About the role

We are seeking an Automation Service Engineer I/II, Oncology to provide service support to the laboratory operations team and to be responsible for troubleshooting, maintenance, and repair of laboratory equipment utilized. This position requires a candidate that is strong in root cause analysis, application support and repair of equipment commonly used in the Next Generation Sequencing workflow.

Responsibilities

• Provide service, support, and troubleshooting for automated processes and instrumentation.
• Perform and coordinate maintenance work on laboratory equipment.
• Troubleshoot, conduct root cause analysis, and problem solving on lab instruments.
• Carry out Installation, Operational, and Process Qualifications on new equipment as necessary.
• Collaborate with Quality Control to ensure all documentation is completed accurately and in accordance with regulatory requirements.
• EFFECTIVELY coordinate with vendors as required for equipment issues.
• Maintain equipment parts inventory and well-organized equipment records.
• Prepare documentation as needed for equipment operation and maintenance.
• Propose and design plans for process improvements.
• Represent the equipment and automation teams in cross-functional meetings.
• Undertake special projects as assigned.

Requirements

• BS degree in a scientific discipline.
• 3+ years of experience in operating and troubleshooting laboratory equipment, preferably high-throughput molecular biology equipment, especially liquid handlers.
• Strong customer focused service experience.
• Ability to engage in constructive dialogue, challenge concerns and maintain transparency.
• Proficiency in problem-solving with limited direction and making confident decisions.
• Attention to detail and accuracy.
• Solid understanding of statistical analyses relevant to automated lab processes.
• Strong multi-tasking ability with a focus on prioritization.
• Experience in troubleshooting complex scripts is an added advantage.
• Experience working in a CLIA or similar regulated environment is preferred.
• Able to work effectively in a team and build strong relationships.
• Self-motivated with a high level of initiative.
• Drive for continual improvement.

Nice-to-Haves

• Familiarity with Molecular Biology techniques, including next generation sequencing.
• Experience with data science / data engineering in an automated laboratory environment.
• Experience developing training programs and performing knowledge transfer.