Data Science Co-Op: MedTech Digital Solutions

Johnson & Johnson MedTech; Cincinnati (OH); On-site; USD 32,000 - 72,000; Full time

Job summary

Johnson & Johnson in Cincinnati invites a non-employee co-op/intern to join the MD Q&C Digital Solutions group. You will contribute to data analytics projects and collaborate with cross-functional teams on software development and validation for digital solutions.

Ideal candidates are pursuing engineering degrees, possess strong communication skills, and are eager to learn lifecycle management practices while contributing to quality initiatives and digital culture initiatives.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a technical field with a graduation date after 2027.
• GPA 3.0+ and authorization to work in the United States for the full duration of the co-op.
• Strong communication skills and ability to work independently or on a team.
• Familiarity with basic statistics concepts is a plus.

Responsibilities

• Use state-of-the-art tools and training courses offered at J&J.
• Collaborate with internal and external teams to implement data analytics and process improvements.
• Perform software development and validation to support medical device quality system digital solutions.
• Learn and apply various software development and lifecycle management techniques.
• Promote digital culture and capabilities across J&J medical devices.
• Strengthen communication and leadership skills.
• Work with a diverse team of data scientists, analytics app developers, and quality engineers.
• Meet with Quality management to discuss risks and opportunities for projects.

Skills

Detail-oriented

Communication skills

Teamwork

Leadership

Education

Bachelor’s or Master’s degree in Mechanical Engineering, Biomedical Engineering, Chemical Engineering, Electrical Engineering, Computer/Software Engineering or related field

GPA 3.0 or above

Tools

Microsoft Office

Job description

Johnson & Johnson in Cincinnati invites a non-employee co-op/intern to join the MD Q&C Digital Solutions group. You will contribute to data analytics projects and collaborate with cross-functional teams on software development and validation for digital solutions.

Ideal candidates are pursuing engineering degrees, possess strong communication skills, and are eager to learn lifecycle management practices while contributing to quality initiatives and digital culture initiatives.