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DATA SCIENCE CO-OP- FALL

Descripción de la oferta de empleo

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 https://www.
nj.
om/.
  Ethicon Surgical Technologies formerly known as Ethicon Endo Surgery a part of the Johnson & Johnson family of companies, is recruiting for a Data Science Co-op located in Cincinnati, OH, to help transform the landscape of surgery.
Responsibilities.
As a Data Science co-op, you will have the opportunity to.
Perform data analyses using Machine Learning or other techniques to uncover new insights from surgical datasets, and/or create high-impact analytics web apps that enable further analysis.
Contribute to data pipelines to advance Ethicon’s robust and scalable Data Engineering infrastructure.
Write software to enable collaborative data analysis and ensure data quality.
Participate in data collection activities to fuel insight and solution creation.
Design and optimize data visualizations for consumption by management and business partners.
Contribute as a member of a team with mentorship from seasoned Data Scientists, Analysts, and Engineers in best practices in data analysis and software development.
Enable R&D Medical Device Product Development, Quality, or Supply Chain teams to make an impact on surgeons and patients.
Rotations are generally 3-5 months 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, housing assistance, 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.
Qualifications Required.
Be enrolled in an accredited college/institution pursuing a Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Biomedical, or other), Computer Science, Data Science, Statistics, or a related field.
Sophomore or above with a graduation date after December 13th, Have a minimum GPA of 3.
.
Have demonstrated Mechanical or Electrical Engineering aptitude via prior coursework, professional experience, hobby projects, or other experience.
Have demonstrated proficiency in R, Python, or another programming language that is Object-Oriented.
Have demonstrated interest in healthcare, robotics, mechanical systems, and/or electrical signals.
Have demonstrated leadership/participation in campus programs and/or community service activities.
Students must be authorized to work in the United States for the duration of the co-op term Ability to work on-site for the co-op duration (est.
August 26th – December 13th) Preferred.
Experience working with… Scientific or Engineering datasets Python Data Science libraries (Pandas, NumPy, SciPy, Scikit-Learn, PySpark, etc.) Machine Learning algorithms and tools SQL Tableau R Shiny Dataiku Git The anticipated pay range for this position is $ to $ per hour, but will be based on candidate's program year, discipline, degree and/or experience.
This is a duration based role with ineligibility for severance.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
#JNJUndergraduate #JNJMasters #JNJResearchandDevelopment #JNJCoOp
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Detalles de la oferta

Empresa
  • Sin especificar
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 01/05/2024
Fecha de expiración
  • 30/07/2024
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