Mechanical Engineering Intern

• Assist in the design and modeling of small mechanical test fixtures using CAD software (SolidWorks) required for specific component or system validation in life science instruments
• Execute mechanical, thermal, or functional tests on prototypes and existing designs, often involving precise control of movement or fluids
• Support the setup of data logging and instrumentation
• Perform light coding tasks (e.g., in Python or MATLAB) for data acquisition, reduction, or basic control of test sequences involving sensors and actuators
• Process, analyze, and interpret collected test data to identify performance metrics and potential areas for improvement, especially concerning precision, repeatability, and reliability
• Collaborate with senior engineers to review test results and propose minor design updates or modifications based on findings, with an emphasis on Design for Reliability and Design for Manufacturing (DFM)
• Assist in preparing detailed documentation, including test procedures, results summaries, and contributing to documentation
• Support testing related to electro-mechanical components, fluidic systems (pneumatic or microfluidic), and structural elements common in laboratory automation.

• Currently pursuing a B.S. or M.S. degree in Mechanical Engineering
• preference for candidates who have completed their Junior year or higher
• Familiarity with at least one CAD software package (e.g., SolidWorks)
• Foundational knowledge of thermal dynamics, fluid dynamics, and stress analysis relevant to small, precise mechanisms
• Working knowledge of a programming language suitable for data analysis and/or test automation (e.g., Python or MATLAB) is a strong plus
• Desire to gain hands-on experience in mechanical testing and validation within a technical R&D environment
• Ability to follow detailed instructions and accurately document work
• Strong communication skills and a willingness to collaborate within a multidisciplinary team (Assay, Optical, Electrical)
• Interest in life science instrumentation and automation.

Working knowledge of a programming language suitable for data analysis and/or test automation (e.g., Python or MATLAB) is a strong plus.

• Health Package
• Easy-to-use Benefits
• Family oriented policies like parental leave
• Generous Time Off.