Johnson & Johnson, Data Science Intern, Productivity AI/ML Summer - Application via WayUp

This role is with Johnson & Johnson. WayUp is partnering with Johnson & Johnson to hire top talent.

2506236147W

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.jnj.com/ .

In this role, you will work with colleagues in the JNJ Innovative Medicine R&D Data Science & Digital Health organization and partner with key businesses across JNJ Innovative Medicine (formerly Janssen) to apply advanced data science and analytics to answer key research questions. As an intern, you will get the opportunity to work on ground breaking problems at the intersection of machine learning and healthcare. You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions. Projects include, but are not limited to, use of real-world data for modeling and prediction of disease severity and progression, discovery of disease subtypes, risk stratification, and precision medicine using traditional biostatistical methodologies and advanced methodologies from machine learning and/or deep learning. Interns could be located out of our US locations in San Diego, San Francisco, Titusville, Raritan, Spring House, Boston as well as remote. Qualifications

• Currently pursuing bachelor’s, master’s, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering,
• Computational Biology, Biomedical Informatics, or related quantitative discipline.
• Strong working knowledge of data mining and machine learning.
• Proficiency in one or more of the following programming languages: Python, R.
• Familiarity with predictive modeling and analysis of large datasets.
• Strong technical communication and presentation skills. Preferred: Experience in one or more of the following
• Knowledge of epidemiology and experience in analysis of healthcare datasets: claims, EMR/EHR, survey, observation studies. The anticipated base pay for this position is Sophomore $25.00/hr, Junior $26.00/hr, Senior $28.00/hr, Master’s degree $33.00/hr. Ineligibility for severance. This job posting is anticipated to close on 02/26/2025. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications. 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. 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. Primary Location NA-US-New Jersey-Titusville Organization Janssen Research & Development, LLC (6084) Job Function Non-LDP Intern/Co-Op