IT Intern, Data & Analytics

Eisai • Nutley, NJ

16h • Onsite

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. This internship supports the Global Data & Analytics team across data architecture, data engineering, and analytics, including building data pipelines, creating visualizations, and contributing to generative AI research and projects. The role requires strong technical foundations in Python/SQL and data concepts, along with solid communication and organizational skills.

Requirements

• Currently enrolled in a bachelor’s or graduate degree program at an accredited academic institution in a relevant field (Information Systems, Computer Science, Data Science, or related discipline)
• Experienced in Python, PySpark, SQL, or similar languages
• Skilled in the concepts of Databases, Analytics and Dashboarding, AI Solutions Building
• Project management and strong organizational skills
• Solid analytical and critical thinking
• Strong communication skills with the ability to convey complex details in a concise manner
• 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)

Nice To Haves

• Experience using Excel, Word, Email, SharePoint, and Visio

Responsibilities

• Data architecture for big and relational data storage solutions
• Data strategy implementation assuring alignment with business needs and use cases
• Data engineering such as building data pipelines for utilization by data science and AI solutions
• Generative AI solutions research and POC implementation(s)
• Creation of data visualizations utilizing tools such as Tableau
• Creation of supporting documentation

What This Job Offers

• Job Type: Part-time
• Career Level: Intern