Surgical Imaging Biomedical Engineering Intern

Johnson & Johnson Co.; Raritan (NJ); Sur place; USD 39 000 - 72 000; Plein temps

Résumé du poste

Johnson & Johnson in Raritan, NJ is offering a Biomedical Engineering Intern – Surgical Imaging position. You will contribute to developing benchtop models and validating imaging algorithms for laparoscopic and robotic surgeries. The role emphasizes cross-functional collaboration, hands-on lab work, and data analysis.

Ideal candidates are pursuing a MS or PhD, with 40-hour work weeks and a June–September internship window, and have strong foundations in engineering and imaging techniques.

Qualifications

• Currently enrolled in an accredited university or college program pursuing a master’s or PhD.
• Available to work full-time (40 hours/week) and during hours agreed with the hiring manager.
• Minimum cumulative GPA of 3.0 for all coursework.
• Commitment to June 1 – August 20, 2027 or June 21, 2027 – September 3, 2027, to align with cohort.
• Target majors include Automation Engineering, Biomedical Engineering, Chemical Engineering, Mechanical Engineering, and Robotics Engineering or closely related field.

Responsabilités

• Design and develop benchtop ex vivo and in vitro models simulating human tissue and blood.
• Plan and implement experiments to validate model performance and imaging capabilities.
• Collaborate with cross-functional teams including imaging scientists and software engineers.
• Automate testing workflows to improve efficiency and reproducibility.
• Maintain detailed documentation of experimental procedures and results.
• Present findings to the broader R&D team.

Connaissances

Python

MATLAB

Data analysis

Laboratory research

Imaging systems

Formation

MS or PhD candidate

Outils

Lab equipment

Description du poste

Johnson & Johnson in Raritan, NJ is offering a Biomedical Engineering Intern – Surgical Imaging position. You will contribute to developing benchtop models and validating imaging algorithms for laparoscopic and robotic surgeries. The role emphasizes cross-functional collaboration, hands-on lab work, and data analysis.

Ideal candidates are pursuing a MS or PhD, with 40-hour work weeks and a June–September internship window, and have strong foundations in engineering and imaging techniques.