Biomedical R&D Engineer: Prototyping & Data-Driven Design

Gentuity; Sudbury (MA); On-site; USD 28,000 - 39,000; Part time

Job summary

Gentuity is seeking a motivated student in biomedical or mechanical engineering to assist in the design and prototyping of medical devices. You will work with real-world data to evaluate concepts, prototype solutions, and test them through hands-on mechanical and data-driven analyses.

Exposure to GD&T, statistics, and cross-functional collaboration is expected. The role emphasizes design changes for manufacturability and cost reduction, plus frequent data-driven decision making and communication

Qualifications

• Experience with mechanical design.
• Working knowledge of basic statistics and GD&T.
• Ability to analyze, understand, and communicate technical information.
• Organization and attention to detail.
• Adept at managing multiple tasks, prioritization and working with others.
• Experience with analysis of biomedical image data is a plus.
• Interest in medical device design, engineering, or manufacturing.

Responsibilities

• Design and prototype concepts using real-world data and evaluation methods.
• Conduct hands-on testing including simulated use, mechanical testing, and root cause investigation.
• Implement product design changes with a focus on improved performance, manufacturability, and cost reduction.
• Make data-driven design decisions using statistics and risk analysis techniques.
• Complete change impact assessments of design updates with cross-functional input.
• Assist in additional R&D activities as needed.
• Other duties as assigned

Skills

Mechanical design

Statistics

GD&T

Communication

Task management

Biomedical image data analysis

Interest in medical device design

Education

B.S. in biomedical engineering or related field

Job description

Gentuity is seeking a motivated student in biomedical or mechanical engineering to assist in the design and prototyping of medical devices. You will work with real-world data to evaluate concepts, prototype solutions, and test them through hands-on mechanical and data-driven analyses.

Exposure to GD&T, statistics, and cross-functional collaboration is expected. The role emphasizes design changes for manufacturability and cost reduction, plus frequent data-driven decision making and communication