Data science - application
This role is with Johnson & Johnson. WayUp is partnering with Johnson & Johnson to hire top talent.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at- Job Function: Career Programs
- Job Sub Function: Non-LDP Intern/Co-Op
- Job Category: Career Program
- All Job Posting Locations: Cincinnati, Ohio, United States of America
- As an Engineering & Data Science co-op in the R&D business, you will have the opportunity to:
- 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.
- Rotations are generally 3-5 months on-site in Cincinnati, OH, and availability for multiple rotations is desired. Responsibilities will increase with each rotation as you learn more by returning to school.
- You will have the opportunity to use state of the art tools and take advantage of training courses offered on-site and virtually.
- We offer a competitive wage, and the Co-op Program provides each student with a great support system, as well as the opportunity to meet people from various schools throughout the country.
- 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 proficiency in Python.
- Demonstrate leadership/participation in campus programs and/or community service activities.
- Demonstrate strong interest in healthcare.
- Preferred: Experience working with…
- Scientific or Engineering datasets
- Python data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, PySpark, etc.)
- ML tools and algorithms
- SQL
- Tableau
- Git
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