Mbpcc

Mbpcc

Graphic Design Intern

Baton Rouge, LA · Intern · Internship

Sponsorship not specifiedDetected 30 days ago
PhotoshopIllustratorGraphic DesignCommunication

About the role

  • Mary Bird Perkins Cancer Center is Louisiana's leading cancer care organization, caring for more patients each year than any other facility in the region.
  • This culture of innovation helps attract the best cancer minds in the country, from expert physicians and highly specialized scientists to forward-thinking leaders in supportive care and other disciplines.
  • Helps with special projects (gathering materials in preparation for meetings, assisting with any marketing projects, preparing and gathering materials for events.) FUNCTIONS: 1.

Responsibilities

  • Mary Bird Perkins and its partners work together to provide state-of-the-art treatments and unparalleled collaborative, comprehensive cancer services.
  • Work with the Graphic Designer to design quality marketing and communication materials to support the MBPCC corporate brand as well as all Cancer Programs.

Requirements

  • Must be actively pursuing a Bachelor's degree in Graphic Design or Graphic Arts
  • Experience working with Adobe Suite graphic design programs such as Photoshop and Illustrator required
  • Commitment of at least one semester but preferably one year or more
  • Satisfactory completion of introductory graphic design courses and a basic understanding of graphic design principals and programs.

Nice to have

  • GPA of 3.0 or higher preferred

Company info

  • And with strategic hospital and physician partnerships, we are delivering on our mission to improve survivorship and lessen the burden of cancer.
  • Together, with our hospital and physician partners, we are one-hundred percent focused on cancer care.
  • We are looking for talented and highly-motivated individuals who demonstrate a natural desire to support the meaningful work of community oncologists and the patients we serve.

This listing is sourced directly from Mbpcc's careers page and normalized into a canonical job model.