ISRM 2026 Data & Analytics GEM Fellow

Johnson & Johnson Innovative MedicineRaritan, NJ
3dRemote

About The Position

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 jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Johnson & Johnson Information Security & Risk Management is recruiting for a Cybersecurity Data & AI GEM Fellow, working remotely or located in Raritan, NJ. Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science -- bringing innovative ideas, products, and services to advance the health and well-being of people. At Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s largest and most broadly-based healthcare company, we are committed to using our reach and size for good. We strive to improve access and affordability, create healthier communities, and put a healthy mind, body and environment within reach of everyone, everywhere. Every day, our more than 130,000 employees across the world are blending heart, science and ingenuity to profoundly change the trajectory of health for humanity. Thriving on a diverse company culture, celebrating the uniqueness of our employees, and committed to inclusion. Proud to be an equal opportunity employer. Do you have the ability to think critically, analyze and glean insights from data? Can you identify risks and drive improvements to enhance insight into data-driven decisions? As a member of the Cybersecurity Data Science, Analytics, and Automation team you will work with multiple customers and products owners to develop analytics/automation data products to facilitate risk management and help mitigate the overall security risk facing the organization.

Requirements

  • A minimum of a Bachelor's degree is required.
  • Experience with Data Analytics tools such as Tableau, Python, R, and SQL.
  • Exhibit intellectual curiosity to assess new technologies and understand the security implications.
  • Must excel in an environment that allows you to challenge yourself and come up with creative solutions to complex problems.
  • Must have strong interpersonal skills.
  • Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.
  • Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Nice To Haves

  • The ability to think critically, analyze and decompose complex systems/processes/controls to identify risk.
  • Enjoy working in a collaborative team environment!

Responsibilities

  • Design and develop visual analytics dashboard to provide required insights for security & risk products and business processes.
  • Collaborate with customers/products owners across ISRM to define requirements for data analytics products.
  • Engineer and develop automated data pipelines and data models.
  • Perform ad-hoc exploratory data analysis to identify patterns/behaviors across products and business processes.
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