R&D IT Intern - Clinical

Eisai USNutley, NJ
$25Onsite

About The Position

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. General Summary Eisai is seeking a motivated and curious intern to join our Clinical IT team. In this role, you will work closely with Eisai IT Team Leads and cross-functional colleagues to assess and test various AI platforms (co-pilot, ChatGPT, Claude) for the Clinical business functions. This internship offers a hands-on opportunity for a student currently enrolled in a technical degree program to build practical experience with AI technologies while gaining exposure to pharmaceutical R&D operations.

Requirements

  • Currently enrolled in a bachelor’s or graduate degree program at an accredited academic institution in a relevant field (Software Engineering, Computer Engineering, Cybersecurity, Information Technology, Data Science, or related discipline)
  • Eligible to work in the United States
  • Must be a rising junior or senior
  • Ability to work onsite at our Nutley, NJ office three days per week (Tuesday–Thursday)
  • Local candidates preferred due to the onsite requirement

Nice To Haves

  • Willingness to be curious, work with individuals inside and outside of Security to learn about the pharma industry.

Responsibilities

  • Work with the Clinical IT Lead and team members to catalog use cases where AI could provide value either to IT or the business function.
  • Document high level requirements and success factors for each AI use case
  • Assess, test and setup AI tools and websites for prioritized AI use cases
  • Establish prompts to build models wherever required
  • Demo AI tools to IT and business teams
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