Transform the landscape of surgery and help prevent and overcome the world’s most significant healthcare challenges through technology and teamwork at Johnson & Johnson
Requirements
- Demonstrate proficiency in Python
- Experience working with Scientific or Engineering datasets
- Experience working with Python data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, PySpark, etc.)
- Experience with ML tools and algorithms
- Experience with SQL
- Experience with Tableau
- Experience with Git
Responsibilities
- Perform analysis of structured and unstructured surgical data sets, uncovering insights for Robotics, Handheld Instruments, or Digital Products R&D engineering teams
- Contribute to product conceptualization efforts for brand new surgical tools and platforms
- Write software that enables collaborative data analysis and ensure data quality
- Develop and carry out mechanical, electrical, and biological tissue laboratory experiments
- Design and optimize data visualizations for stakeholders
- Contribute as a member of a team with mentorship from seasoned Hardware Engineers, Data Engineers, and Data Scientists
- Use state of the art tools and take advantage of training courses offered on-site and virtually
Other
- Be enrolled in an accredited college/institution pursuing a Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Biomedical, or similar) or in a Computing discipline (Computer Science, Data Science, Statistics, or similar) with strong background in Mechanical or Electrical Engineering principles
- Be in your second year of your undergraduate degree, or above, in school at the beginning of your co-op
- Considered a student during the desired co-op session(s) (i.e. will not have already graduated college)
- Have a minimum GPA of 3.0
- Demonstrate leadership/participation in campus programs and/or community service activities
