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Automation Specialist

2 months ago

Cambridge, Massachusetts, United States Massachusetts Institute of Technology Full time
Position Overview

The Automation Associate at the Massachusetts Institute of Technology's Koch Institute for Integrative Cancer Research (KI) will play a crucial role in the operation of advanced automated systems. This position involves close collaboration with esteemed scientists and engineers to develop automated methodologies that enhance research in oncology.

Key Responsibilities

- Execute project-specific automated workflows to streamline research processes.
- Assess and manage equipment requirements, including scheduling maintenance and repairs.
- Provide training to researchers on automation tools and data management.
- Maintain relationships with vendors and oversee service contracts.
- Coordinate scheduling for high-throughput screening campaigns.
- Implement and sustain analysis software for data interpretation.
- Collaborate with IT to ensure effective data management practices.
- Evaluate and integrate new software and hardware solutions.
- Monitor and troubleshoot automated systems to ensure optimal performance.
- Participate in industry conferences to stay updated on automation trends.
- Uphold safety standards and protocols in all operations.
- Perform additional duties as required.

Qualifications

Required:
- Bachelor’s degree in bioengineering, computer science, chemistry, biology, or a related field.
- Minimum of two years of experience in lab automation, screening, or a related area (including undergraduate experience).
- Proficiency with automation software (e.g., Freedom Evoware, Cellario).
- Strong attention to detail and ability to instruct others.
- Excellent organizational, time management, documentation, and communication skills.
- Capability to adapt to changing priorities in a dynamic environment.
- Discretion and sound judgment regarding confidential information.

Preferred:
- Experience with high-content screening and management of compound or genetic libraries.
- Familiarity with biological data analysis techniques.
- Working knowledge of programming and data science tools such as Python, JavaScript, C#, R, Azure/GCP/AWS, and Docker.

This position may require occasional evening or weekend work due to the nature of timed experiments.